9135 lines
292 KiB
YAML
9135 lines
292 KiB
YAML
version: 2
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models:
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- name: int_kpis__dimension_dates
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description: |
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This model provides the daily time dimensionality needed for KPIs.
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It only considers dates up-to-yesterday.
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columns:
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- name: date
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data_type: date
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description: Specific date. It's the primary key of this model.
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data_tests:
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- unique
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- not_null
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- name: year
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data_type: int
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description: Year number of the given date.
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data_tests:
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- not_null
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- name: month
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data_type: int
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description: Month number of the given date.
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data_tests:
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- not_null
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- name: week
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data_type: int
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description: Week number of the given date.
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data_tests:
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- not_null
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- name: day
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data_type: int
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description: Day monthly number of the given date.
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data_tests:
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- not_null
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- name: first_day_month
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data_type: date
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description: |
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First day of the month corresponding to the date field.
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data_tests:
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- not_null
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- name: last_day_month
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data_type: date
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description: |
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Last day of the month corresponding to the date field.
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data_tests:
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- not_null
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- name: is_end_of_month
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data_type: boolean
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description: True if it's end of month, false otherwise.
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data_tests:
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- not_null
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- name: is_current_month
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data_type: boolean
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description: |
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True if the date is within the current month, false otherwise.
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data_tests:
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- not_null
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- name: is_month_to_date
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data_type: boolean
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description: |
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True if the date is within the scope of month-to-date, false otherwise.
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The scope of month-to-date takes into account both 1) a date being in
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the current month or 2) a date corresponding to the same month of the
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previous year, which day number cannot be higher than yesterday's day
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number.
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data_tests:
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- not_null
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- name: first_day_week
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data_type: date
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description: |
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First day of the week corresponding to the date field.
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data_tests:
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- not_null
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- name: last_day_week
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data_type: date
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description: |
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Last day of the week corresponding to the date field.
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data_tests:
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- not_null
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- name: is_end_of_week
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data_type: boolean
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description: True if it's end of week, false otherwise.
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data_tests:
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- not_null
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- name: is_current_week
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data_type: boolean
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description: |
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True if the date is within the current week, false otherwise.
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data_tests:
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- not_null
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- name: is_yesterday
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data_type: boolean
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description: |
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True if the date is yesterday, false otherwise.
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data_tests:
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- not_null
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- name: int_kpis__agg_dates_main_kpis
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description: |
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This model provides the skeleton of dates and dimensions needed for Main KPIs display.
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It encapsulates the multiple manners to present data in the reporting, namely, Monthly+MTD
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per a given dimension or specifically Monthly by Deal.
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The rest of the metrics computed are attached to this master table.
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- dimension
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- dimension_value
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columns:
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- name: date
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data_type: date
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description: |
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The end date of the time range considered for the metrics that will be
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available in this record.
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data_tests:
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- not_null
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- name: dimension
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data_type: string
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description: The dimension or granularity of the metrics.
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data_tests:
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- accepted_values:
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values:
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- global
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- by_number_of_listings
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- by_billing_country
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- by_business_scope
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- by_deal
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- name: dimension_value
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data_type: string
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description: The value or segment available for the selected dimension.
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data_tests:
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- not_null
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- name: year
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data_type: int
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description: Year number of the given date.
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data_tests:
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- not_null
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- name: month
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data_type: int
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description: Month number of the given date.
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data_tests:
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- not_null
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- name: day
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data_type: int
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description: Day monthly number of the given date.
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data_tests:
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- not_null
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- name: first_day_month
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data_type: date
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description: |
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First day of the month corresponding to the date field.
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data_tests:
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- not_null
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- name: last_day_month
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data_type: date
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description: |
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Last day of the month corresponding to the date field.
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data_tests:
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- not_null
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- name: is_end_of_month
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data_type: boolean
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description: True if it's end of month, false otherwise.
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data_tests:
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- not_null
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- name: is_current_month
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data_type: boolean
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description: |
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True if the date is within the current month, false otherwise.
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data_tests:
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- not_null
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- name: is_end_of_month_or_yesterday
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data_type: boolean
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description: |
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True if the date is the end of the month OR yesterday, false otherwise.
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data_tests:
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- not_null
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- name: int_kpis__lifecycle_daily_accommodation
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description: |
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This model computes the daily lifecycle segment for each accommodation, also known as
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listings.
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The information regarding the booking-related time allows for the current status of any listing
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regarding its activity. This information is encapsulated in the following columns:
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accommodation_lifecycle_state: contains one of the following states
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- 01-New: Listings that have been created in the current month, without bookings
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- 02-Never Booked: Listings that have been created before the current month, without bookings.
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- 03-First Time Booked: Listings that have been booked for the first time in the current month.
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- 04-Active: Listings that have booking activity in the past 12 months (that are not FTB nor reactivated)
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- 05-Churning: Listings that are becoming inactive because of lack of bookings in the past 12 months
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- 06-Inactive: Listings that have not had a booking for more than 12 months.
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- 07-Reactivated: Listings that have had a booking in the current month that were inactive or churning before.
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- Finally, if none of the logic applies, which should not happen, null will be set and a dbt alert will raise.
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Since the states of Active, First Time Booked and Reactivated indicate certain booking activity and are
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mutually exclusive, the model also provides information of the recency of the bookings by the following
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booleans:
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- has_been_booked_within_current_month: If a listing has had a booking created in the current month
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- has_been_booked_within_last_6_months: If a listing has had a booking created in the past 6 months
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- has_been_booked_within_last_12_months: If a listing has had a booking created in the past 12 months
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Note that if a listing has had a booking created in a given month, all 3 columns will be true. Similarly,
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if the last booking created to a listing was 5 months ago, only the column has_been_booked_in_1_month
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will be false; while the other 2 will be true.
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- id_accommodation
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columns:
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- name: date
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data_type: date
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description: Date in which a Listing has a given lifecycle state.
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data_tests:
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- not_null
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- name: id_accommodation
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data_type: bigint
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description: Id of the accommodation or listing.
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data_tests:
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- not_null
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- name: creation_date_utc
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data_type: date
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description: Date of when the listing was created.
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- name: first_time_booked_date_utc
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data_type: date
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description: |
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Date of the first booking created for a given listing. Can be null if the listing
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has never had a booking associated with it.
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- name: last_time_booked_date_utc
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data_type: date
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description: |
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Date of the last booking created for a given listing. Can be null if the listing
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has never had a booking associated with it. Can be the same as first_time_booked_date_utc
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if the listing only had 1 booking in its history.
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- name: second_to_last_time_booked_date_utc
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data_type: date
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description: |
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Date of the second-to-last booking created for a given listing, meaning the creation
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date of the booking that precedes the last one. It's relevant for the reactivation computation
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on the lifecycle. Can be null if the listing has never had a booking associated with it or if
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the listing only had 1 booking in its history.
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- name: accommodation_lifecycle_state
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data_type: character varying
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description: |
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Contains the lifecycle state of a Listing. The accepted values are:
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01-New, 02-Never Booked, 03-First Time Booked, 04-Active, 05-Churning, 06-Inactive,
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07-Reactivated. Failing to implement the logic will result in alert.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- 01-New
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- 02-Never Booked
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- 03-First Time Booked
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- 04-Active
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- 05-Churning
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- 06-Inactive
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- 07-Reactivated
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- name: has_been_booked_within_current_month
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data_type: boolean
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description: If the listing has had a booking created in the current month.
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- name: has_been_booked_within_last_6_months
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data_type: boolean
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description: If the listing has had a booking created in the past 6 months.
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- name: has_been_booked_within_last_12_months
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data_type: boolean
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description: If the listing has had a booking created in the past 12 months.
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- name: int_kpis__lifecycle_daily_deal
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description: |
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This model computes the daily lifecycle of accounts, at deal level.
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The information regarding the booking-related time allows for the current status of any
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deal regarding its activity. This information is encapsulated in the following columns:
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deal_lifecycle_state: contains one of the following states
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- 01-New: Deals that have been created in the current month, that are not offboarded.
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- 02-Never Booked: Deals that have been created before the current month, without bookings, that are not offboarded.
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- 04-Active: Deals that have booking activity in the past 12 months (not reactivated), that are not offboarded.
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- 05-Churning: Either Deals that are offboarded in that month or Deals that are becoming inactive because of lack of bookings in the past 12 months
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- 06-Inactive: Either Deals that have been previously offboarded or Deals that have not had a booking for more than 12 months.
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- 07-Reactivated: Deals that have had a booking in the current month that were inactive or churning before, that are not offboarded.
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- 99-Not in HubSpot: Deals that are not in HubSpot so we can't determine the lifecycle state.
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Since the states of Active, First Time Booked and Reactivated indicate certain booking activity and are
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mutually exclusive, the model also provides information of the recency of the bookings by the following
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booleans:
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- has_been_booked_within_current_month: If a deal has had a booking created in the current month
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- has_been_booked_within_last_6_months: If a deal has had a booking created in the past 6 months
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- has_been_booked_within_last_12_months: If a deal has had a booking created in the past 12 months
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Note that if a deal has had a booking created in a given month, all 3 columns will be true. Similarly,
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if the last booking created to a deal was 5 months ago, only the column has_been_booked_in_1_month
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will be false; while the other 2 will be true.
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Some final considerations:
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- It's possible but not common that a Deal gets offboarded on the same month that has had some bookings created.
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- It shouldn't happen that a Deal that is Inactive has some bookings created. However, there's few cases in which
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this happens likely because of misconfiguration between Hubspot and Core. This should be reported to increase
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data quality.
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- id_deal
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columns:
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- name: date
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data_type: date
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description: Date in which a Deal has a given lifecycle state.
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data_tests:
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- not_null
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- name: id_deal
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data_type: character varying
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description: Unique identifier of the Account.
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data_tests:
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- not_null
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- name: creation_date_utc
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data_type: date
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description: Date of when the first host associated to that deal was created.
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- name: first_time_booked_date_utc
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data_type: date
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description: |
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Date of the first booking created for a given deal. Can be null if the deal
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has never had a booking associated with it.
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- name: last_time_booked_date_utc
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data_type: date
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description: |
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Date of the last booking created for a given deal. Can be null if the deal
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has never had a booking associated with it. Can be the same as first_time_booked_date_utc
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if the deal only had 1 booking in its history.
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- name: second_to_last_time_booked_date_utc
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data_type: date
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description: |
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Date of the second-to-last booking created for a given deal, meaning the creation
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date of the booking that precedes the last one. It's relevant for the reactivation computation
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on the lifecycle. Can be null if the deal has never had a booking associated with it or if
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the deal only had 1 booking in its history.
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- name: cancellation_date_utc
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data_type: date
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description: |
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Date of when the deal was cancelled, according to Hubspot. This is the date we're considering
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for hard offboarding. It can be null, meaning the account has not been offboarded.
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- name: deal_lifecycle_state
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data_type: character varying
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description: |
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Contains the lifecycle state of a deal. The accepted values are:
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01-New, 02-Never Booked, 04-Active, 05-Churning, 06-Inactive,
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07-Reactivated, 99-Not in Husbpot.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- 01-New
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- 02-Never Booked
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- 04-Active
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- 05-Churning
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- 06-Inactive
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- 07-Reactivated
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- 99-Not in HubSpot
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- name: has_been_booked_within_current_month
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data_type: boolean
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description: |
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If the deal has had a booking already created in the current month.
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Note that if the Booking is created on the 5th day, this column will
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be false for the days 1st to 4th, and true from the day 5th onwards.
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- name: has_been_booked_within_last_6_months
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data_type: boolean
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description: |
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If the deal has had a booking created in the past 6 months.
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- name: has_been_booked_within_last_12_months
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data_type: boolean
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description: |
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If the deal has had a booking created in the past 12 months.
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- name: has_been_offboarded
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data_type: boolean
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description: |
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If the deal has been cancelled or not. Note that if the Deal
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has been offboarded on the 5th day, this column will be false
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for the days 1st to 4th, and true from the day 5th onwards.
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- name: int_kpis__dimension_deals
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description: |
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This model provides the main baseline for deals for KPIs.
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It combines deals from both Hubspot and Core. In case of a deal
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being present in both systems, Hubspot data will take precedence
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in terms of deal name. Besides, the model provides the main billing
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country according to core, in case core deals exist. Lastly, the first
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date considered as effective date corresponds to the minimum between the
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date a deal has gone live according to Hubspot and the first date a user
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host has been created according to Core.
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columns:
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- name: id_deal
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data_type: string
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description: ID of the account, or deal.
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data_tests:
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- not_null
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- unique
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- name: main_deal_name
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data_type: string
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description: |
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Main deal name according to Hubspot. In case of a deal being present
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in both systems, Hubspot data will take precedence in terms of deal name.
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data_tests:
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- not_null
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- name: is_deal_in_hubspot
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data_type: boolean
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description: |
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Does the deal exist in HubSpot.
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- name: has_active_pms
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data_type: boolean
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description: |
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Does the deal have an active associated PMS.
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data_tests:
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- not_null
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- name: active_pms_list
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data_type: string
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description: |
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Name of the active PMS associated with the deal. It can have more than
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one PMS associated with it. It can be null if it doesn't have any PMS associated.
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- name: client_type
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data_type: string
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description: |
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Type of client associated with the deal.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- API
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- PLATFORM
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- name: main_billing_country_iso_3_per_deal
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data_type: string
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description: |
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Main billing country of the host aggregated at Deal level according to
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Core. It can be null if the deal is only present in Hubspot or if the
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field is null in Core.
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- name: effective_deal_start_date_utc
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data_type: date
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description: |
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Effective start date of the deal, this corresponds to the date a deal has
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gone live according to Hubspot.
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data_tests:
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- not_null
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- name: effective_deal_start_month
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data_type: date
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description: |
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This field represents the first day of the month of the effective deal
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start date. This is obtained by truncating the effective deal start date
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to the month.
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data_tests:
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- not_null
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- name: min_user_in_new_dash_since_date_utc
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data_type: date
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description: |
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The date when the first user host appeared in New Dash for this deal.
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- name: hubspot_deal_cancellation_date_utc
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data_type: date
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description: |
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Effective date at which the deal cancelled it's partnership with Superhog.
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- name: hubspot_deal_cancellation_month
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data_type: date
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description: |
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This field represents the first day of the month of the cancellation date
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of the deal. This is obtained by truncating the cancellation deal date
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to the month.
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- name: hubspot_listing_segmentation
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data_type: integer
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description: |
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Segment value based on the number of properties managed by the deal
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according to what was set in HubSpot.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: int_kpis__dimension_daily_accommodation
|
|
description: |
|
|
This model computes the deal segmentation per number of
|
|
listings in a daily manner.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Specific date in which the segmentation applies.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- name: accommodations_booked_in_12_months
|
|
data_type: bigint
|
|
description:
|
|
Actual volume of listings that have been booked in the past 12 months
|
|
for a given deal and date.
|
|
|
|
- name: int_kpis__metric_daily_created_bookings
|
|
description: |
|
|
This model computes the Daily Created Bookings at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Bookings have been created.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings created in a given date and per specified dimension.
|
|
|
|
- name: cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings created in a given date and per specified dimension
|
|
that have been cancelled.
|
|
|
|
- name: not_cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings created in a given date and per specified dimension
|
|
that have not been cancelled.
|
|
|
|
- name: int_kpis__metric_monthly_created_bookings
|
|
description: |
|
|
This model computes the Monthly Created Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month
|
|
and per specified dimension.
|
|
|
|
- name: cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month
|
|
and per specified dimension that have been cancelled.
|
|
|
|
- name: not_cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month
|
|
and per specified dimension that have not been cancelled.
|
|
|
|
- name: int_kpis__metric_mtd_created_bookings
|
|
description: |
|
|
This model computes the Month-To-Date Created Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month up to the
|
|
given date and per specified dimension that have been cancelled.
|
|
|
|
- name: not_cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings created in a given month up to the
|
|
given date and per specified dimension that have not been cancelled.
|
|
|
|
- name: int_kpis__agg_daily_billable_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Daily Billable Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The start and end date of the time range considered for
|
|
the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- billable_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: The daily billable bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_monthly_created_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Created Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_bookings
|
|
- cancelled_created_bookings
|
|
- not_cancelled_created_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: The monthly created bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The monthly cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: not_cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The monthly not cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_created_bookings_rate
|
|
data_type: decimal
|
|
description: |
|
|
The monthly rate of cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_created_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Created Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_bookings
|
|
- cancelled_created_bookings
|
|
- not_cancelled_created_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: The month-to-date created bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: not_cancelled_created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date not cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_created_bookings_rate
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date rate of cancelled created bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_created_guest_journeys
|
|
description: |
|
|
This model computes the Daily Created Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been created.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_created_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Created Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys created in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_created_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Created Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys created in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_created_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Created Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: The monthly created guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_created_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Created Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date created guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_started_guest_journeys
|
|
description: |
|
|
This model computes the Daily Started Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been started.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_started_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Started Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys started in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_started_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Started Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys started in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_started_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Started Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- started_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: The monthly started guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_started_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Started Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- started_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date started guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_completed_guest_journeys
|
|
description: |
|
|
This model computes the Daily Completed Guest Journeys at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been completed.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_completed_guest_journeys
|
|
description: |
|
|
This model computes the Monthly Completed Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys completed in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_completed_guest_journeys
|
|
description: |
|
|
This model computes the Month-To-Date Completed Guest Journeys at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys completed in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_completed_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Completed Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- completed_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: The monthly completed guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_completed_guest_journeys
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Completed Guest Journeys.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- completed_guest_journeys
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: The month-to-date completed guest journeys for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_guest_journeys_with_payment
|
|
description: |
|
|
This model computes the Daily Guest Journeys with Payment at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been completed.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: guest_journeys_with_payment
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_guest_journeys_with_payment
|
|
description: |
|
|
This model computes the Monthly Guest Journeys with Payment at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: guest_journeys_with_payment
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys completed in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_guest_journeys_with_payment
|
|
description: |
|
|
This model computes the Month-To-Date Guest Journeys with Payment at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: guest_journeys_with_payment
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated guest journeys completed in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_guest_journeys_with_payment
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Guest Journeys with Payment.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- guest_journeys_with_payment
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: guest_journeys_with_payment
|
|
data_type: bigint
|
|
description: The monthly guest journeys with payment for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_guest_journeys_with_payment
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Guest Journeys with Payment.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- guest_journeys_with_payment
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: guest_journeys_with_payment
|
|
data_type: bigint
|
|
description: The month-to-date guest journeys with payment for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_guest_payments
|
|
description: |
|
|
This model computes the Daily Guest Payments at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- has_id_check,
|
|
- business_scope
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- has_id_check
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Guest Journeys have been completed.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of deposit fees paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of waiver payments paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of checkin cover fees paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: stay_disrupt_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of stay disrupt fees paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of total payments paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_guest_payments
|
|
description: |
|
|
This model computes the Monthly Guest Payments at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- has_id_check,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- has_id_check
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated deposit fees paid by guests, without taxes,
|
|
in GBP in a given month and per specified dimension.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated waiver payments paid by guests, without taxes,
|
|
in GBP in a given month and per specified dimension.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated checkin cover fees by guests, without taxes,
|
|
in GBP in a given month and per specified dimension.
|
|
|
|
- name: stay_disrupt_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated stay disrupt fees by guests, without taxes,
|
|
in GBP in a given month and per specified dimension.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated total payments paid by guests, without taxes,
|
|
in GBP in a given month and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_guest_payments
|
|
description: |
|
|
This model computes the Month-To-Date Guest Payments at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- has_id_check,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- has_id_check
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated deposit fees paid by guests, without taxes,
|
|
in GBP in a given month up to the given date and per specified dimension.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated waiver payments paid by guests, without taxes,
|
|
in GBP in a given month up to the given date and per specified dimension.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated checkin cover fees by guests, without taxes,
|
|
in GBP in a given month up to the given date and per specified dimension.
|
|
|
|
- name: stay_disrupt_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated stay disrupt fees by guests, without taxes,
|
|
in GBP in a given month up to the given date and per specified dimension.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated total payments paid by guests, without taxes,
|
|
in GBP in a given month up to the given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_guest_payments
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Guest Payments.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- deposit_fees_in_gbp
|
|
- waiver_payments_in_gbp
|
|
- checkin_cover_fees_in_gbp
|
|
- stay_disrupt_fees_in_gbp
|
|
- total_guest_payments_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
- by_has_id_check
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly deposit fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly waiver payments paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly checkin cover fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: stay_disrupt_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly stay disrupt fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly total payments paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_guest_payments
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Guest Payments.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- deposit_fees_in_gbp
|
|
- waiver_payments_in_gbp
|
|
- checkin_cover_fees_in_gbp
|
|
- stay_disrupt_fees_in_gbp
|
|
- total_guest_payments_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
- by_has_id_check
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date deposit fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date waiver payments paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date checkin cover fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: stay_disrupt_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date stay disrupt fees paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date total payments paid by guests, without taxes, in GBP
|
|
for a given range date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_check_out_bookings
|
|
description: |
|
|
This model computes the Daily Check-out Bookings at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Bookings have been checked-out.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings checked-out in a given date and per specified dimension.
|
|
|
|
- name: cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings checked-out in a given date and per specified dimension
|
|
that have been cancelled.
|
|
|
|
- name: not_cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings checked-out in a given date and per specified dimension
|
|
that have not been cancelled.
|
|
|
|
- name: billable_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings checked-out in a given date and per specified dimension
|
|
that are billable. Note that the consideration for billable booking is different
|
|
depending on the business scope of the booking.
|
|
|
|
- name: int_kpis__metric_monthly_check_out_bookings
|
|
description: |
|
|
This model computes the Monthly Check-out Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month
|
|
and per specified dimension.
|
|
|
|
- name: cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month
|
|
and per specified dimension that have been cancelled.
|
|
|
|
- name: not_cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month
|
|
and per specified dimension that have not been cancelled.
|
|
|
|
- name: billable_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month
|
|
and per specified dimension that are billable.
|
|
Note that the consideration for billable booking is different
|
|
depending on the business scope of the booking.
|
|
|
|
- name: int_kpis__metric_mtd_check_out_bookings
|
|
description: |
|
|
This model computes the Month-To-Date Check-out Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month up to the
|
|
given date and per specified dimension that have been cancelled.
|
|
|
|
- name: not_cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month up to the
|
|
given date and per specified dimension that have not been cancelled.
|
|
|
|
- name: billable_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings checked-out in a given month up to the
|
|
given date and per specified dimension that are billable.
|
|
Note that the consideration for billable booking is different
|
|
depending on the business scope of the booking.
|
|
|
|
- name: int_kpis__agg_monthly_check_out_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Check-out Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- check_out_bookings
|
|
- cancelled_check_out_bookings
|
|
- not_cancelled_check_out_bookings
|
|
- billable_check_out_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: check_out_bookings
|
|
data_type: bigint
|
|
description: The monthly checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The monthly cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: not_cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The monthly not cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: billable_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The monthly billable checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_check_out_bookings_rate
|
|
data_type: decimal
|
|
description: |
|
|
The monthly rate of cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_check_out_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Check-out Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- check_out_bookings
|
|
- cancelled_check_out_bookings
|
|
- not_cancelled_check_out_bookings
|
|
- billable_check_out_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: check_out_bookings
|
|
data_type: bigint
|
|
description: The month-to-date checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: not_cancelled_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date not cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: billable_check_out_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date billable checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: cancelled_check_out_bookings_rate
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date rate of cancelled checked-out bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_billable_bookings
|
|
description: |
|
|
This model computes the Daily Billable Bookings at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Bookings have been billable.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily bookings billable in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_billable_bookings
|
|
description: |
|
|
This model computes the Monthly Billable Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings billable in a given month
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_billable_bookings
|
|
description: |
|
|
This model computes the Month-To-Date Billable Bookings at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated bookings billable in a given month up to the
|
|
given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_billable_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Billable Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- billable_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: The monthly billable bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_billable_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Billable Bookings.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- billable_bookings
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_bookings
|
|
data_type: bigint
|
|
description: The month-to-date billable bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_check_in_attributed_guest_journeys
|
|
description: |
|
|
This model computes Guest Journey metrics at the deepest granularity
|
|
level for the Guest Products KPIs.
|
|
This model uses the Check-In date of the bookings for the date attribute.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- has_payment,
|
|
- has_id_check.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- has_payment
|
|
- has_id_check
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of Check-In of the bookings for the guest journeys.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: has_payment
|
|
data_type: string
|
|
description: Has there been any guest payments on the guest journey.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Payment
|
|
- With Payment
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: started_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: completed_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created in a given date and
|
|
per specified dimension.
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started in a given date and
|
|
per specified dimension.
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed in a given date and
|
|
per specified dimension.
|
|
|
|
- name: count_csat_score
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys with CSAT (customer satisfaction score)
|
|
in a given date and per specified dimension.
|
|
|
|
- name: average_csat_score
|
|
data_type: bigint
|
|
description: |
|
|
Average daily CSAT score in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_daily_host_resolutions
|
|
description: |
|
|
This model computes the Daily Host Resolutions at the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Host Resolutions transaction happened.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_host_resolution_payment_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily Host Resolution Payment Count in a given date and per specified dimension.
|
|
|
|
- name: xero_host_resolution_amount_paid_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Host Resolution Amount Paid, in GBP, in a given
|
|
date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_host_resolutions
|
|
description: |
|
|
This model computes the Monthly Host Resolutions at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_host_resolution_payment_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated Host Resolution Payment Count in a
|
|
given month and per specified dimension.
|
|
|
|
- name: xero_host_resolution_amount_paid_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Host Resolution Amount Paid, in GBP, in a
|
|
given month and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_host_resolutions
|
|
description: |
|
|
This model computes the Month-To-Date Host Resolutions at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_host_resolution_payment_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of accumulated Host Resolution Payment Count in a
|
|
given month up to the given date and per specified dimension.
|
|
|
|
- name: xero_host_resolution_amount_paid_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Host Resolution Amount Paid, in GBP, in a
|
|
given month up to the given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_host_resolutions
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Host Resolutions.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- xero_host_resolution_payment_count
|
|
- xero_host_resolution_amount_paid_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_host_resolution_payment_count
|
|
data_type: bigint
|
|
description: |
|
|
The monthly Host Resolution Payment Count for a given date, dimension and value.
|
|
|
|
- name: xero_host_resolution_amount_paid_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Host Resolution Amount Paid, in GBP, for a
|
|
given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_host_resolutions
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Host Resolutions.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- xero_host_resolution_payment_count
|
|
- xero_host_resolution_amount_paid_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_host_resolution_payment_count
|
|
data_type: bigint
|
|
description: |
|
|
The month-to-date Host Resolution Payment Count for a given date, dimension and value.
|
|
|
|
- name: xero_host_resolution_amount_paid_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Host Resolution Amount Paid, in GBP, for a
|
|
given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_invoiced_revenue
|
|
description: |
|
|
This model computes the Daily Invoiced Revenue at the deepest granularity.
|
|
|
|
The logic behind this model is mostly retrieving different revenue sources
|
|
that are invoiced to the hosts. This considers both Invoices and Credit Notes,
|
|
thus metrics correspond to the net amount.
|
|
|
|
Data is retrieved by account codes following accounting standards, and is
|
|
aggregated at different levels of business revenue understanding.
|
|
Only documents with status equal to Authorised or Paid are considered. Revenue is
|
|
computed without taxes, in GBP. Revenue is attributed to the document issued date,
|
|
thus it might show some differences vs. financials since we do not consider accrued
|
|
revenue.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when the document was issued.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_basic_protection_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Basic Protection Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_waiver_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Waiver Pro Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_id_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily ID Verification Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_protection_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Protection Pro Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_screening_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Screening Plus Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_sex_offenders_check_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Sex Offenders Check Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_protection_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Protection Pro Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_basic_screening_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Basic Screening Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_old_dashboard_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Old Dashboard Booking Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension.
|
|
|
|
- name: xero_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Total Booking Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This takes into
|
|
account both Old Dashboard and New Dashboard.
|
|
|
|
- name: xero_listing_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Listing Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension.
|
|
|
|
- name: xero_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Verification Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension.
|
|
|
|
- name: xero_operator_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Operator Net Fees, which include New Dash Services,
|
|
Booking, Listing and Verification Net Fees for Old Dash;
|
|
in GBP, without taxes in a given date and per specified dimension.
|
|
Partial data of 2022 corresponds to revenue categorised as Other Revenue
|
|
according to the financials.
|
|
|
|
- name: xero_e_deposit_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily E-Deposit Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_check_in_hero_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Check-In Hero API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_screen_and_protect_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Screen & Protect API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_flex_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Flex API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_athena_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Athena (Guesty) Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_guesty_resolutions_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Guesty Resolutions Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension.
|
|
|
|
- name: xero_guesty_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Athena (Guesty) Net Fees and Guesty Resolutions
|
|
Net Fees, in GBP, without taxes in a given date and per specified
|
|
dimension.
|
|
|
|
- name: xero_apis_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily API Net Fees, which include E-Deposit,
|
|
and Athena (Guesty) Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension.
|
|
|
|
- name: xero_waiver_paid_back_to_host_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Waiver Amount Paid Back to Hosts, in GBP,
|
|
without taxes in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_invoiced_revenue
|
|
description: |
|
|
This model computes the Monthly Invoiced Revenue at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_basic_protection_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Basic Protection Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_waiver_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Waiver Pro Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_id_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated ID Verification Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_protection_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Protection Plus Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_screening_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Screening Plus Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_sex_offenders_check_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Sex Offenders Check Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_protection_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Protection Pro Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_basic_screening_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Basic Screening Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is a New
|
|
Dashboard service.
|
|
|
|
- name: xero_old_dashboard_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Old Dashboard Booking Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension.
|
|
|
|
- name: xero_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Total Booking Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This takes into
|
|
account both Old Dashboard and New Dashboard.
|
|
|
|
- name: xero_listing_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Listing Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension.
|
|
|
|
- name: xero_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Verification Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension.
|
|
|
|
- name: xero_operator_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Operator Net Fees, which include New Dash Services,
|
|
Booking, Listing and Verification Net Fees for Old Dash;
|
|
in GBP, without taxes in a given month and per specified dimension.
|
|
Partial data of 2022 corresponds to revenue categorised as Other Revenue
|
|
according to the financials.
|
|
|
|
- name: xero_e_deposit_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated E-Deposit Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_check_in_hero_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Check-In Hero API Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_screen_and_protect_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Screen & Protect API Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_flex_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Flex API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_athena_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Athena (Guesty) Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_guesty_resolutions_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Guesty Resolutions Net Fees, in GBP, without taxes
|
|
in a given month and per specified dimension.
|
|
|
|
- name: xero_guesty_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Athena (Guesty) Net Fees and Guesty Resolutions
|
|
Net Fees, in GBP, without taxes in a given month and per specified
|
|
dimension.
|
|
|
|
- name: xero_waiver_paid_back_to_host_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Waiver Amount Paid Back to Hosts, in GBP,
|
|
without taxes in a given month and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_invoiced_revenue
|
|
description: |
|
|
This model computes the Month-To-Date Invoiced Revenue at the
|
|
deepest granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_basic_protection_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Basic Protection Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_waiver_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Waiver Pro Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_id_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated ID Verification Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_protection_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Protection Plus Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_screening_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Screening Plus Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_sex_offenders_check_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Sex Offenders Check Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_protection_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Protection Pro Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_basic_screening_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Basic Screening Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_old_dashboard_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Old Dashboard Booking Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
|
|
- name: xero_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Total Booking Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This takes into account both Old Dashboard and New Dashboard.
|
|
|
|
- name: xero_listing_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Listing Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
|
|
- name: xero_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Verification Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
|
|
- name: xero_operator_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Operator Net Fees, which include New Dash Services,
|
|
Booking, Listing and Verification Net Fees for Old Dash;
|
|
in GBP, without taxes in a given month up to the given date
|
|
and per specified dimension.
|
|
Partial data of 2022 corresponds to revenue categorised as Other Revenue
|
|
according to the financials.
|
|
|
|
- name: xero_e_deposit_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated E-Deposit Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is an API service.
|
|
|
|
- name: xero_check_in_hero_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Check-In Hero API Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is an API service.
|
|
|
|
- name: xero_screen_and_protect_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Screen & Protect API Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is an API service.
|
|
|
|
- name: xero_flex_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Flex API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_athena_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Athena (Guesty) Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
This is an API service.
|
|
|
|
- name: xero_guesty_resolutions_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Guesty Resolutions Net Fees, in GBP, without taxes
|
|
in a given month up to the given date and per specified dimension.
|
|
|
|
- name: xero_guesty_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accummulated Athena (Guesty) Net Fees and Guesty Resolutions
|
|
Net Fees, in GBP, without taxes in a given month up to the given date
|
|
and per specified dimension.
|
|
|
|
- name: xero_waiver_paid_back_to_host_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of accumulated Waiver Amount Paid Back to Hosts, in GBP,
|
|
without taxes in a given month up to the given date and per
|
|
specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_invoiced_revenue
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Invoiced Revenue.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- xero_basic_protection_net_fees_in_gbp
|
|
- xero_waiver_pro_net_fees_in_gbp
|
|
- xero_id_verification_net_fees_in_gbp
|
|
- xero_protection_plus_net_fees_in_gbp
|
|
- xero_screening_plus_net_fees_in_gbp
|
|
- xero_sex_offenders_check_net_fees_in_gbp
|
|
- xero_protection_pro_net_fees_in_gbp
|
|
- xero_basic_screening_net_fees_in_gbp
|
|
- xero_old_dashboard_booking_net_fees_in_gbp
|
|
- xero_booking_net_fees_in_gbp
|
|
- xero_listing_net_fees_in_gbp
|
|
- xero_verification_net_fees_in_gbp
|
|
- xero_operator_net_fees_in_gbp
|
|
- xero_e_deposit_net_fees_in_gbp
|
|
- xero_check_in_hero_api_net_fees_in_gbp
|
|
- xero_screen_and_protect_net_fees_in_gbp
|
|
- xero_flex_api_net_fees_in_gbp
|
|
- xero_athena_net_fees_in_gbp
|
|
- xero_guesty_resolutions_net_fees_in_gbp
|
|
- xero_guesty_net_fees_in_gbp
|
|
- xero_apis_net_fees_in_gbp
|
|
- xero_waiver_paid_back_to_host_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_basic_protection_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Basic Protection Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_waiver_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Waiver Pro Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_id_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly ID Verification Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_protection_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Protection Plus Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_screening_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Screening Plus Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_sex_offenders_check_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Sex Offenders Check Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_protection_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Protection Pro Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_basic_screening_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Basic Screening Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_old_dashboard_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Old Dashboard Booking Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Total Booking Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This takes into account both Old Dashboard and New Dashboard.
|
|
|
|
- name: xero_listing_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Listing Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Verification Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_operator_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Operator Net Fees, which include New Dash Services,
|
|
Booking, Listing and Verification Net Fees for Old Dash;
|
|
in GBP, without taxes for a given date, dimension and value.
|
|
Partial data of 2022 corresponds to revenue categorised as Other Revenue
|
|
according to the financials.
|
|
|
|
- name: xero_e_deposit_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly E-Deposit Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_check_in_hero_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Check-In Hero API Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_screen_and_protect_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Screen & Protect API Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_flex_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Flex API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_athena_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Athena (Guesty) Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_guesty_resolutions_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Guesty Resolutions Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_guesty_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Athena (Guesty) Net Fees and Guesty Resolutions
|
|
Net Fees, in GBP, without taxes for a given date, dimension and value.
|
|
|
|
- name: xero_waiver_paid_back_to_host_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Waiver Amount Paid Back to Hosts, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_invoiced_revenue
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Invoiced Revenue.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- xero_basic_protection_net_fees_in_gbp
|
|
- xero_waiver_pro_net_fees_in_gbp
|
|
- xero_id_verification_net_fees_in_gbp
|
|
- xero_protection_plus_net_fees_in_gbp
|
|
- xero_screening_plus_net_fees_in_gbp
|
|
- xero_sex_offenders_check_net_fees_in_gbp
|
|
- xero_protection_pro_net_fees_in_gbp
|
|
- xero_basic_screening_net_fees_in_gbp
|
|
- xero_old_dashboard_booking_net_fees_in_gbp
|
|
- xero_booking_net_fees_in_gbp
|
|
- xero_listing_net_fees_in_gbp
|
|
- xero_verification_net_fees_in_gbp
|
|
- xero_operator_net_fees_in_gbp
|
|
- xero_e_deposit_net_fees_in_gbp
|
|
- xero_check_in_hero_api_net_fees_in_gbp
|
|
- xero_screen_and_protect_net_fees_in_gbp
|
|
- xero_flex_api_net_fees_in_gbp
|
|
- xero_athena_net_fees_in_gbp
|
|
- xero_guesty_resolutions_net_fees_in_gbp
|
|
- xero_guesty_net_fees_in_gbp
|
|
- xero_apis_net_fees_in_gbp
|
|
- xero_waiver_paid_back_to_host_in_gbp
|
|
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: xero_basic_protection_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Basic Protection Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_waiver_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Waiver Pro Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_id_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date ID Verification Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_protection_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Protection Plus Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_screening_plus_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Screening Plus Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_sex_offenders_check_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Sex Offenders Check Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_protection_pro_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Protection Pro Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_basic_screening_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Basic Screening Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is a New Dashboard service.
|
|
|
|
- name: xero_old_dashboard_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Old Dashboard Booking Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_booking_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Total Booking Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This takes into account both Old Dashboard and New Dashboard.
|
|
|
|
- name: xero_listing_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Listing Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_verification_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Verification Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_operator_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Operator Net Fees, which include New Dash Services,
|
|
Booking, Listing and Verification Net Fees for Old Dash;
|
|
in GBP, without taxes for a given date, dimension and value.
|
|
Partial data of 2022 corresponds to revenue categorised as Other Revenue
|
|
according to the financials.
|
|
|
|
- name: xero_e_deposit_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date E-Deposit Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_check_in_hero_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Check-In Hero API Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_screen_and_protect_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Screen & Protect API Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_flex_api_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of daily Flex API Net Fees, in GBP, without taxes
|
|
in a given date and per specified dimension. This is an
|
|
API service.
|
|
|
|
- name: xero_athena_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Athena (Guesty) Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
This is an API service.
|
|
|
|
- name: xero_guesty_resolutions_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Guesty Resolutions Net Fees, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: xero_guesty_net_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Athena (Guesty) Net Fees and Guesty Resolutions
|
|
Net Fees, in GBP, without taxes for a given date, dimension and value.
|
|
|
|
- name: xero_waiver_paid_back_to_host_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Waiver Amount Paid Back to Hosts, in GBP, without taxes
|
|
for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_deals
|
|
description: |
|
|
This model computes the Daily Deal metrics at the deepest granularity.
|
|
|
|
Be aware that this Deal entity will differ from how the rest of models
|
|
usually operate. This is because we compute Deal metrics, thus it does
|
|
not make sense to compute these at Deal level.
|
|
|
|
Also, Deal metrics at daily level already contain the time dimension
|
|
aggregates needed, thus we won't have mtd or monthly equivalent models,
|
|
but rather just select from this daily model the needed days to recover
|
|
the necessary information.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- main_billing_country_iso_3_per_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- main_billing_country_iso_3_per_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date containing the Deal metrics.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: new_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of new deals in a given date and per specified dimension.
|
|
|
|
- name: never_booked_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of never booked deals in a given date and per specified dimension.
|
|
|
|
- name: active_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of active deals in a given date and per specified dimension.
|
|
|
|
- name: inactive_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of inactive deals in a given date and per specified dimension.
|
|
|
|
- name: churning_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of churning deals in a given date and per specified dimension.
|
|
|
|
- name: reactivated_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of reactivated deals in a given date and per specified dimension.
|
|
|
|
- name: deals_booked_in_month
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the month in a given date and per specified dimension.
|
|
|
|
- name: deals_booked_in_6_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the past 6 months in a given date and per specified dimension.
|
|
|
|
- name: deals_booked_in_12_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the past 12 months in a given date and per specified dimension.
|
|
|
|
- name: live_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of live deals in a given date and per specified dimension.
|
|
This accounts for New Deals, Active Deals and Reactivated Deals.
|
|
|
|
- name: int_kpis__agg_daily_deals
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Daily Deal metrics.
|
|
|
|
The primary key of this model is date, dimension
|
|
and dimension_value.
|
|
|
|
Be aware that this Deal entity will differ from how the rest of models
|
|
usually operate. This is because we compute Deal metrics, thus it does
|
|
not make sense to compute these at Deal level.
|
|
|
|
Also, Deal metrics at daily level already contain the time dimension
|
|
aggregates needed, thus we won't have mtd or monthly equivalent models,
|
|
but rather just select from this daily model the needed days to recover
|
|
the necessary information.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date containing the Deal metrics.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- new_deals
|
|
- never_booked_deals
|
|
- active_deals
|
|
- churning_deals
|
|
- inactive_deals
|
|
- reactivated_deals
|
|
- deals_booked_in_month
|
|
- deals_booked_in_6_months
|
|
- deals_booked_in_12_months
|
|
- live_deals
|
|
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_end_of_month
|
|
data_type: boolean
|
|
description: True if it's end of month, false otherwise.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_current_month
|
|
data_type: boolean
|
|
description: |
|
|
True if the date is within the current month, false otherwise.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_month_to_date
|
|
data_type: boolean
|
|
description: |
|
|
True if the date is within the scope of month-to-date, false otherwise.
|
|
The scope of month-to-date takes into account both 1) a date being in
|
|
the current month or 2) a date corresponding to the same month of the
|
|
previous year, which day number cannot be higher than yesterday's day
|
|
number.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: new_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of new deals for a given date, dimension and value.
|
|
|
|
- name: never_booked_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of never booked deals for a given date, dimension and value.
|
|
|
|
- name: active_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of active deals for a given date, dimension and value.
|
|
|
|
- name: inactive_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of inactive deals for a given date, dimension and value.
|
|
|
|
- name: churning_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of churning deals for a given date, dimension and value.
|
|
|
|
- name: reactivated_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of reactivated deals for a given date, dimension and value.
|
|
|
|
- name: deals_booked_in_month
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the month for a given date, dimension and value.
|
|
|
|
- name: deals_booked_in_6_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the past 6 months for a given date, dimension and value.
|
|
|
|
- name: deals_booked_in_12_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of deals booked within the past 12 months for a given date, dimension and value.
|
|
|
|
- name: live_deals
|
|
data_type: bigint
|
|
description: |
|
|
Count of live deals in a given date and per specified dimension.
|
|
This accounts for New Deals, Never Booked Deals, Active Deals and Reactivated Deals.
|
|
|
|
- name: int_kpis__metric_daily_listings
|
|
description: |
|
|
This model computes the Daily Listing metrics at the deepest granularity.
|
|
|
|
Listing metrics at daily level already contain the time dimension
|
|
aggregates needed, thus we won't have mtd or monthly equivalent models,
|
|
but rather just select from this daily model the needed days to recover
|
|
the necessary information.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- business_scope
|
|
- id_deal
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date containing the Listing metrics.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Listing level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: new_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of new listings in a given date and per specified dimension.
|
|
|
|
- name: never_booked_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of never booked listings in a given date and per specified dimension.
|
|
|
|
- name: first_time_booked_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of first-time booked listings in a given date and per specified dimension.
|
|
|
|
- name: active_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of active listings in a given date and per specified dimension.
|
|
|
|
- name: inactive_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of inactive listings in a given date and per specified dimension.
|
|
|
|
- name: churning_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of churning listings in a given date and per specified dimension.
|
|
|
|
- name: reactivated_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of reactivated listings in a given date and per specified dimension.
|
|
|
|
- name: listings_booked_in_month
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the month in a given date and per specified dimension.
|
|
|
|
- name: listings_booked_in_6_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the past 6 months in a given date and per specified dimension.
|
|
|
|
- name: listings_booked_in_12_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the past 12 months in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_daily_listings
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Daily Listing metrics.
|
|
|
|
The primary key of this model is date, dimension
|
|
and dimension_value.
|
|
|
|
Listing metrics at daily level already contain the time dimension
|
|
aggregates needed, thus we won't have mtd or monthly equivalent models,
|
|
but rather just select from this daily model the needed days to recover
|
|
the necessary information.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date containing the Listing metrics.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- new_listings
|
|
- never_booked_listings
|
|
- first_time_booked_listings
|
|
- active_listings
|
|
- churning_listings
|
|
- inactive_listings
|
|
- reactivated_listings
|
|
- listings_booked_in_month
|
|
- listings_booked_in_6_months
|
|
- listings_booked_in_12_months
|
|
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_business_scope
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_end_of_month
|
|
data_type: boolean
|
|
description: True if it's end of month, false otherwise.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_current_month
|
|
data_type: boolean
|
|
description: |
|
|
True if the date is within the current month, false otherwise.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_month_to_date
|
|
data_type: boolean
|
|
description: |
|
|
True if the date is within the scope of month-to-date, false otherwise.
|
|
The scope of month-to-date takes into account both 1) a date being in
|
|
the current month or 2) a date corresponding to the same month of the
|
|
previous year, which day number cannot be higher than yesterday's day
|
|
number.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: new_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of new listings for a given date, dimension and value.
|
|
|
|
- name: never_booked_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of never booked listings for a given date, dimension and value.
|
|
|
|
- name: first_time_booked_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of first-time booked listings for a given date, dimension and value.
|
|
|
|
- name: active_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of active listings for a given date, dimension and value.
|
|
|
|
- name: inactive_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of inactive listings for a given date, dimension and value.
|
|
|
|
- name: churning_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of churning listings for a given date, dimension and value.
|
|
|
|
- name: reactivated_listings
|
|
data_type: bigint
|
|
description: |
|
|
Count of reactivated listings for a given date, dimension and value.
|
|
|
|
- name: listings_booked_in_month
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the month for a given date, dimension and value.
|
|
|
|
- name: listings_booked_in_6_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the past 6 months for a given date, dimension and value.
|
|
|
|
- name: listings_booked_in_12_months
|
|
data_type: bigint
|
|
description: |
|
|
Count of listings booked within the past 12 months for a given date, dimension and value.
|
|
|
|
- name: int_kpis__dimension_date_product_guest
|
|
description: |
|
|
This model computes a cross join of dates with all combinations of
|
|
guest products dimensions.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date_day
|
|
- has_payment
|
|
- has_id_check
|
|
- main_billing_country_iso_3_per_deal
|
|
columns:
|
|
- name: date_day
|
|
data_type: date
|
|
description: "Date of when Guest Journeys have been completed."
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: date_week
|
|
data_type: string
|
|
description: "Week number of when Guest Journeys have been completed."
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: has_payment
|
|
data_type: string
|
|
description: Has there been any guest payments on the guest journey.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Payment
|
|
- With Payment
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: int_kpis__product_guest_daily_metrics
|
|
description: |
|
|
This model computes the Daily Guest Metrics at the deepest granularity.
|
|
Here all metrics are attributed to the Check-in Date of the associated
|
|
booking, except for payments which are attributed to payment date.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date_day,
|
|
- py_date_day,
|
|
- id_deal,
|
|
- has_id_check,
|
|
- main_billing_country_iso_3_per_deal.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date_day
|
|
- py_date_day
|
|
- has_payment
|
|
- has_id_check
|
|
- main_billing_country_iso_3_per_deal
|
|
columns:
|
|
- name: date_day
|
|
data_type: date
|
|
description: "Date of when Guest Journeys have been completed."
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: date_week
|
|
data_type: string
|
|
description: "Week number of when Guest Journeys have been completed."
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: py_date_day
|
|
data_type: date
|
|
description: |
|
|
Date on the previous year of when Guest Journeys have been completed.
|
|
Note that this date can be NULL for leap days (29th February)
|
|
|
|
- name: has_payment
|
|
data_type: string
|
|
description: Has there been any guest payments on the guest journey.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Payment
|
|
- With Payment
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: started_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: completed_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed, excluding cancelled bookings,
|
|
in a given date and per specified dimension.
|
|
|
|
- name: created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created in a given date and
|
|
per specified dimension.
|
|
|
|
- name: started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started in a given date and
|
|
per specified dimension.
|
|
|
|
- name: completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed in a given date and
|
|
per specified dimension.
|
|
|
|
- name: total_csat_score_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys with CSAT (customer satisfaction score)
|
|
in a given date and per specified dimension.
|
|
|
|
- name: average_csat_score
|
|
data_type: bigint
|
|
description: |
|
|
Average daily CSAT score in a given date and per specified dimension.
|
|
|
|
- name: deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of deposit fees paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of waiver payments paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of checkin cover fees paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of total payments paid by guests, without taxes, in GBP
|
|
in a given date and per specified dimension.
|
|
|
|
- name: py_created_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created (excluding canceled bookings)
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_started_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started (excluding canceled bookings)
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_completed_guest_journeys_not_cancelled
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed (excluding canceled bookings)
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_created_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys created on the same date in the previous year,
|
|
segmented by the specified dimension.
|
|
|
|
- name: py_started_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys started on the same date in the previous year,
|
|
segmented by the specified dimension.
|
|
|
|
- name: py_completed_guest_journeys
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys completed on the same date in the previous year,
|
|
segmented by the specified dimension.
|
|
|
|
- name: py_total_csat_score_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily guest journeys with CSAT (customer satisfaction score)
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_average_csat_score
|
|
data_type: bigint
|
|
description: |
|
|
Average daily CSAT score on the same date in the previous year,
|
|
segmented by the specified dimension.
|
|
|
|
- name: py_deposit_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of deposit fees paid by guests, excluding taxes, in GBP
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_waiver_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of waiver payments paid by guests, excluding taxes, in GBP
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_checkin_cover_fees_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of check-in cover fees paid by guests, excluding taxes, in GBP
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: py_total_guest_payments_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of total payments paid by guests, excluding taxes, in GBP
|
|
on the same date in the previous year, segmented by the specified dimension.
|
|
|
|
- name: int_kpis__product_guest_agg_metrics
|
|
description:
|
|
This model aggregates multiple metrics on a Year-to-date, Month-to-date or
|
|
Week-to-date basis. This model changes the display format of the model
|
|
int_kpis__product_guest_daily_metrics pivoting the metrics columns and
|
|
adding a timeframe dimension.
|
|
columns:
|
|
- name: metric
|
|
data_type: text
|
|
description: Name of the business metric
|
|
|
|
- name: has_payment
|
|
data_type: string
|
|
description: Has there been any guest payments on the guest journey.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Payment
|
|
- With Payment
|
|
|
|
- name: has_id_check
|
|
data_type: string
|
|
description: Does the verification in the guest journey
|
|
includes Government Id Check for the bookings.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- W/O Id Check
|
|
- With Id Check
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: timeframe
|
|
data_type: text
|
|
description: |
|
|
Timeframe considered for the aggregation, it could be Year-to-date,
|
|
Month-to-date or Week-to-date
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- YTD
|
|
- MTD
|
|
- WTD
|
|
|
|
- name: current_value
|
|
data_type: numeric
|
|
description: |
|
|
Numeric value (integer or decimal) that corresponds to the timeframe
|
|
computation of the metric at the current date.
|
|
For example if the current date is 27/11/2024 and the timeframe is MTD,
|
|
then this value would correspond to the computation of the metric for
|
|
the dates between 01/11/2024 and 27/11/2024.
|
|
|
|
- name: py_value
|
|
data_type: numeric
|
|
description: |
|
|
Numeric value (integer or decimal) that corresponds to the timeframe
|
|
computation of the metric at the current date but on the previous year.
|
|
For example if the current date is 27/11/2024 and the timeframe is MTD,
|
|
then this value would correspond to the computation of the metric for
|
|
the dates between 01/11/2023 and 27/11/2023.
|
|
|
|
- name: pp_value
|
|
data_type: numeric
|
|
description: |
|
|
Numeric value (integer or decimal) that corresponds to the timeframe
|
|
computation of the metric at the current date but on the previous period.
|
|
For example if the current date is 27/11/2024 and the timeframe is MTD,
|
|
then this value would correspond to the computation of the metric for
|
|
the dates between 01/10/2024 and 27/10/2024.
|
|
|
|
- name: int_kpis__metric_daily_new_dash_created_services
|
|
description: |
|
|
This model computes the Daily Created Services at the deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_booking,
|
|
- service_name
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_booking
|
|
- service_name
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Services have been created.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_booking
|
|
data_type: bigint
|
|
description: Unique identifier of the Booking.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management, Protection
|
|
or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily services created in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_new_dash_created_services
|
|
description: |
|
|
This model computes the Monthly Created Services at the
|
|
deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- service_name,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation,
|
|
- service_business_type.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- service_name
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management,
|
|
Protection or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: |
|
|
Count of services created in a given month and per specified dimension.
|
|
|
|
- name: booking_with_created_services_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of unique bookings in a given month and per specified dimension.
|
|
This is an approximation to booking count since different services can
|
|
apply to the same booking and these do not need to be created in the same
|
|
time period. Therefore, it's not an additive metric.
|
|
|
|
- name: int_kpis__metric_weekly_new_dash_created_services
|
|
description: |
|
|
This model computes the Weekly Created Services at the
|
|
deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
Be aware that any dimension that can change over the weekly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- service_name,
|
|
- id_deal,
|
|
- active_accommodations_per_deal_segmentation,
|
|
- service_business_type.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- service_name
|
|
- id_deal
|
|
- active_accommodations_per_deal_segmentation
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management,
|
|
Protection or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: |
|
|
Count of services created in a given month and per specified dimension.
|
|
|
|
- name: booking_with_created_services_count
|
|
data_type: bigint
|
|
description: |
|
|
Count of unique bookings in a given month and per specified dimension.
|
|
This is an approximation to booking count since different services can
|
|
apply to the same booking and these do not need to be created in the same
|
|
time period. Therefore, it's not an additive metric.
|
|
|
|
- name: int_kpis__agg_weekly_new_dash_created_services
|
|
description: |
|
|
This model computes the dimension aggregation for Weekly Created Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_services
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: The weekly created services for a given date range, dimension and value.
|
|
|
|
- name: booking_with_created_services_count
|
|
data_type: bigint
|
|
description: |
|
|
The weekly bookings with created services for a given date range, dimension and value.
|
|
This is an approximation to booking count since different services can
|
|
apply to the same booking and these do not need to be created in the same
|
|
time period. Therefore, it's not an additive metric.
|
|
|
|
- name: int_kpis__agg_monthly_new_dash_created_services
|
|
description: |
|
|
This model computes the dimension aggregation for Monthly Created Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_services
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: The monthly created services for a given date range, dimension and value.
|
|
|
|
- name: booking_with_created_services_count
|
|
data_type: bigint
|
|
description: |
|
|
The monthly bookings with created services for a given date range, dimension and value.
|
|
This is an approximation to booking count since different services can
|
|
apply to the same booking and these do not need to be created in the same
|
|
time period. Therefore, it's not an additive metric.
|
|
|
|
- name: int_kpis__agg_daily_new_dash_created_services
|
|
description: |
|
|
This model computes the dimension aggregation for Daily Created Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The daily date acting as time range for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_services
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: The daily created services for a given date, dimension and value.
|
|
|
|
- name: booking_with_created_services_count
|
|
data_type: bigint
|
|
description: |
|
|
The daily bookings with created services for a given date, dimension and value.
|
|
This is an approximation to booking count since different services can
|
|
apply to the same booking and these do not need to be created in the same
|
|
time period. Therefore, it's not an additive metric.
|
|
|
|
- name: int_kpis__product_new_dash_agg_metrics
|
|
description: |
|
|
This model serves as the skeleton for New Dash metrics and dimensions.
|
|
This model computes the time granularity aggregation per previously computed
|
|
dimension aggregation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- time_granularity
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range specified in the time_granularity
|
|
for the dimension, dimension_value and metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: time_granularity
|
|
data_type: string
|
|
description: The time dimension.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- daily
|
|
- weekly
|
|
- monthly
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deal_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of deals with services offered by a given date, dimension and value.
|
|
|
|
- name: accommodation_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of accommodations with services offered by a given date, dimension and value.
|
|
|
|
- name: created_services
|
|
data_type: bigint
|
|
description: |
|
|
The created services for a given time granularity, date or dates range,
|
|
dimension and value.
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: |
|
|
The amount of created bookings for a given time granularity, date or dates range,
|
|
dimension and value.
|
|
|
|
- name: total_chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
The total chargeable services for a given time granularity, date or
|
|
dates range, dimension and value.
|
|
|
|
- name: total_chargeable_amount_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The total daily chargeable amount for a given time granularity, date or
|
|
dates range, dimension and value, in GBP.
|
|
|
|
- name: unique_chargeable_bookings
|
|
data_type: integer
|
|
description: |
|
|
The unique daily chargeable bookings for a given time granularity, date or
|
|
dates range, dimension and value.
|
|
This metric is not additive, and its value can vary depending on the time
|
|
period considered.
|
|
|
|
- name: unique_chargeable_listings
|
|
data_type: integer
|
|
description: |
|
|
The unique daily chargeable accommodations, or listings, for a given time
|
|
granularity, date or dates range, dimension and value.
|
|
This metric is not additive, and its value can vary depending on the time
|
|
period considered.
|
|
|
|
- name: int_kpis__metric_daily_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the Daily Chargeable Services at the deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_booking,
|
|
- service_name
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_booking
|
|
- service_name
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Services are supposed to be charged.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_booking
|
|
data_type: bigint
|
|
description: Unique identifier of the Booking.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the chargeable service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_accommodation
|
|
data_type: bigint
|
|
description: Unique identifier of an accommodation, or listing.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management,
|
|
Protection or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
Count of daily chargeable services in a given date and per specified
|
|
dimension.
|
|
|
|
- name: service_total_price_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of the total prices of the chargeable services in a given date and
|
|
per specified dimension, in GBP.
|
|
|
|
- name: int_kpis__metric_monthly_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the Monthly Chargeable Services at the
|
|
deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- service_name,
|
|
- id_booking,
|
|
- active_accommodations_per_deal_segmentation.
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_booking
|
|
- service_name
|
|
- active_accommodations_per_deal_segmentation
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_booking
|
|
data_type: bigint
|
|
description: Unique identifier of the Booking.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the chargeable service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_accommodation
|
|
data_type: bigint
|
|
description: Unique identifier of an accommodation, or listing.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management,
|
|
Protection or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
Count of monthly chargeable services in a given date and per specified
|
|
dimension.
|
|
|
|
- name: service_total_price_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of the total prices of the chargeable services in a given time range
|
|
and per specified dimension, in GBP.
|
|
|
|
- name: int_kpis__metric_weekly_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the Weekly Chargeable Services at the
|
|
deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- service_name,
|
|
- id_booking,
|
|
- active_accommodations_per_deal_segmentation,
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_booking
|
|
- service_name
|
|
- active_accommodations_per_deal_segmentation
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_booking
|
|
data_type: bigint
|
|
description: Unique identifier of the Booking.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the chargeable service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_accommodation
|
|
data_type: bigint
|
|
description: Unique identifier of an accommodation, or listing.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management,
|
|
Protection or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
Count of weekly chargeable services in a given date and per specified
|
|
dimension.
|
|
|
|
- name: service_total_price_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of the total prices of the chargeable services in a given time range
|
|
and per specified dimension, in GBP.
|
|
|
|
- name: int_kpis__agg_weekly_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the dimension aggregation for Weekly Chargeable Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- total_chargeable_services
|
|
- total_chargeable_amount_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
The total weekly chargeable services in a given time range and per specified
|
|
dimension.
|
|
|
|
- name: total_chargeable_amount_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The total weekly chargeable amount in a given time range and per specified
|
|
dimension, in GBP.
|
|
|
|
- name: unique_chargeable_bookings
|
|
data_type: integer
|
|
description: |
|
|
The unique weekly chargeable bookings in a given time range and per specified
|
|
dimension. This metric is not additive, and its value can vary depending
|
|
on the time period considered.
|
|
|
|
- name: unique_chargeable_listings
|
|
data_type: integer
|
|
description: |
|
|
The unique weekly chargeable accommodations, or listings, in a given time range
|
|
and per specified dimension. This metric is not additive, and its value
|
|
can vary depending on the time period considered.
|
|
|
|
- name: int_kpis__agg_monthly_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the dimension aggregation for Monthly Chargeable Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- total_chargeable_services
|
|
- total_chargeable_amount_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
The total monthly chargeable services in a given time range and per specified
|
|
dimension.
|
|
|
|
- name: total_chargeable_amount_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The total monthly chargeable amount in a given time range and per specified
|
|
dimension, in GBP.
|
|
|
|
- name: unique_chargeable_bookings
|
|
data_type: integer
|
|
description: |
|
|
The unique monthly chargeable bookings in a given time range and per specified
|
|
dimension. This metric is not additive, and its value can vary depending
|
|
on the time period considered.
|
|
|
|
- name: unique_chargeable_listings
|
|
data_type: integer
|
|
description: |
|
|
The unique monthly chargeable accommodations, or listings, in a given time range
|
|
and per specified dimension. This metric is not additive, and its value
|
|
can vary depending on the time period considered.
|
|
|
|
- name: int_kpis__agg_daily_new_dash_chargeable_services
|
|
description: |
|
|
This model computes the dimension aggregation for Daily Chargeable Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services chargeable after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The daily date acting as time range for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- total_chargeable_services
|
|
- total_chargeable_amount_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_chargeable_services
|
|
data_type: integer
|
|
description: |
|
|
The total daily chargeable services in a given time range and per specified
|
|
dimension.
|
|
|
|
- name: total_chargeable_amount_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The total daily chargeable amount in a given time range and per specified
|
|
dimension, in GBP.
|
|
|
|
- name: unique_chargeable_bookings
|
|
data_type: integer
|
|
description: |
|
|
The unique daily chargeable bookings in a given time range and per specified
|
|
dimension. This metric is not additive, and its value can vary depending
|
|
on the time period considered.
|
|
|
|
- name: unique_chargeable_listings
|
|
data_type: integer
|
|
description: |
|
|
The unique daily chargeable accommodations, or listings, in a given time range
|
|
and per specified dimension. This metric is not additive, and its value
|
|
can vary depending on the time period considered.
|
|
|
|
- name: int_kpis__metric_daily_new_dash_deals_offered_services
|
|
description: |
|
|
This model computes the Daily Offered Services by Deals at the deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- id_user_product_bundle,
|
|
- service_name,
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- id_user_product_bundle
|
|
- service_name
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when user has a bundle with service active.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_user_product_bundle
|
|
data_type: bigint
|
|
description: Unique identifier of the User Product Bundle.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management, Protection
|
|
or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: int_kpis__metric_daily_new_dash_accommodation_offered_services
|
|
description: |
|
|
This model computes the Daily Offered Services by Listings at the deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_accommodation,
|
|
- id_user_product_bundle,
|
|
- service_name,
|
|
- service_business_type
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_accommodation
|
|
- id_user_product_bundle
|
|
- service_name
|
|
- service_business_type
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when user has a bundle with service active.
|
|
data_tests:
|
|
- not_null
|
|
- name: id_accommodation
|
|
data_type: bigint
|
|
description: Unique identifier of an accommodation, or listing.
|
|
data_tests:
|
|
- not_null
|
|
- name: id_user_product_bundle
|
|
data_type: bigint
|
|
description: Unique identifier of the User Product Bundle.
|
|
data_tests:
|
|
- not_null
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management, Protection
|
|
or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: int_kpis__agg_daily_new_dash_deals_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Daily Deals Offered Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The daily date acting as time range for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- deal_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deal_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The daily count of deals with services offered for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_weekly_new_dash_deals_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Number of Deals with
|
|
Offered Services by the end of each week.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The end date of the week.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- deal_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deal_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of deals with services offered by the end of a given week, dimension and value.
|
|
|
|
- name: int_kpis__agg_monthly_new_dash_deals_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Number of Deals with
|
|
Offered Services by the end of each month.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The end date of the month.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- deal_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: deal_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of deals with services offered by the end of a given month, dimension and value.
|
|
|
|
- name: int_kpis__agg_daily_new_dash_accommodation_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Daily Accommodation Offered Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The daily date acting as time range for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- accommodation_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_deal
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: accommodation_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The daily count of accommodations with services offered for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_weekly_new_dash_accommodation_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Number of Accommodation with
|
|
Offered Services by the end of each week.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The end date of the week.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- accommodation_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_deal
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: accommodation_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of accommodations with services offered by the end of a given week, dimension and value.
|
|
|
|
- name: int_kpis__agg_monthly_new_dash_accommodation_offered_services
|
|
description: |
|
|
This model computes the dimension aggregation for Number of Accommodation with
|
|
Offered Services by the end of each month.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The end date of the month.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- accommodation_with_offered_service_count
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_new_dash_version
|
|
- by_deal
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: accommodation_with_offered_service_count
|
|
data_type: bigint
|
|
description: |
|
|
The count of accommodations with services offered by the end of a given month, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_total_and_retained_revenue
|
|
description: |
|
|
This model computes the Daily Total Revenue and Revenue Retained metrics
|
|
at the deepest granularity.
|
|
|
|
The logic behind this model is to combine the daily revenue and payouts
|
|
from different sources:
|
|
- Guest Revenue (from int_kpis__metric_daily_guest_payments)
|
|
- Invoiced Revenue and Payouts (from int_kpis__metric_daily_invoiced_revenue)
|
|
- Host Resolutions Payouts (from int_kpis__metric_daily_host_resolutions)
|
|
in order to compute Total Revenue, Retained Revenue and Retained Revenue Post-Resolutions.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- business_scope.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- business_scope
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when the document was issued.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue,
|
|
in GBP, without taxes, in a given date and per specified dimension.
|
|
|
|
- name: revenue_retained_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Total Revenue minus Waiver Payouts due to Host Takes Risk,
|
|
in GBP, without taxes, in a given date and per specified dimension.
|
|
|
|
- name: revenue_retained_post_resolutions_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Revenue Retained minus Host Resolutions Payouts due to resolutions,
|
|
in GBP, without taxes, in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__metric_monthly_total_and_retained_revenue
|
|
description: |
|
|
This model computes the Monthly Total Revenue, Retained
|
|
Revenue and Revenue Retained Post-Resolutions at the deepest
|
|
granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue,
|
|
in GBP, without taxes, in a given month and per specified dimension.
|
|
|
|
- name: revenue_retained_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Total Revenue minus Waiver Payouts due to Host Takes Risk,
|
|
in GBP, without taxes, in a given month and per specified dimension.
|
|
|
|
- name: revenue_retained_post_resolutions_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Revenue Retained minus Host Resolutions Payouts due to resolutions,
|
|
in GBP, without taxes, in a given month and per specified dimension.
|
|
|
|
- name: int_kpis__metric_mtd_total_and_retained_revenue
|
|
description: |
|
|
This model computes the Month-To-Date Total Revenue, Retained
|
|
Revenue and Revenue Retained Post-Resolutions at the deepest
|
|
granularity.
|
|
Be aware that any dimension that can change over the monthly period,
|
|
such as daily segmentations, are included in the primary key of the
|
|
model.
|
|
|
|
The unique key corresponds to:
|
|
- end_date,
|
|
- id_deal,
|
|
- business_scope,
|
|
- active_accommodations_per_deal_segmentation.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- business_scope
|
|
- active_accommodations_per_deal_segmentation
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "Old Dash"
|
|
- "New Dash"
|
|
- "API"
|
|
- "UNSET"
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Sum of Guest Revenue, Invoiced Operator Revenue and APIs Revenue,
|
|
in GBP, without taxes, in a given month to the current date
|
|
and per specified dimension.
|
|
|
|
- name: revenue_retained_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Total Revenue minus Waiver Payouts due to Host Takes Risk,
|
|
in GBP, without taxes, in a given month to the current date
|
|
and per specified dimension.
|
|
|
|
- name: revenue_retained_post_resolutions_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
Revenue Retained minus Host Resolutions Payouts due to resolutions,
|
|
in GBP, without taxes, in a given month to the current date
|
|
and per specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_total_and_retained_revenue
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Total Revenue, Retained Revenue and
|
|
Revenue Retained Post-Resolutions.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- total_revenue_in_gbp
|
|
- revenue_retained_in_gbp
|
|
- revenue_retained_post_resolutions_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Total Revenue in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: revenue_retained_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Revenue Retained in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: revenue_retained_post_resolutions_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The monthly Revenue Retained Post-Resolutions in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_mtd_total_and_retained_revenue
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Month-To-Date Total Revenue, Retained Revenue and
|
|
Revenue Retained Post-Resolutions.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- total_revenue_in_gbp
|
|
- revenue_retained_in_gbp
|
|
- revenue_retained_post_resolutions_in_gbp
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Total Revenue in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: revenue_retained_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Revenue Retained in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: revenue_retained_post_resolutions_in_gbp
|
|
data_type: decimal
|
|
description: |
|
|
The month-to-date Revenue Retained Post-Resolutions in GBP
|
|
for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_daily_new_dash_created_bookings
|
|
description: |
|
|
This model computes the Daily Created Bookings with Services at the deepest granularity.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_booking,
|
|
- id_user_product_bundle,
|
|
- service_name,
|
|
- service_business_type
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_booking
|
|
- id_user_product_bundle
|
|
- service_name
|
|
- service_business_type
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when the Booking was created.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_booking
|
|
data_type: bigint
|
|
description: Unique identifier of the Booking.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_user_product_bundle
|
|
data_type: bigint
|
|
description: Unique identifier of the User Product Bundle.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: Name of the created service.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: is_upgraded_service
|
|
data_type: string
|
|
description: |
|
|
Whether the service is an upgraded version of the
|
|
default. In other words, if it's not Basic Screening.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "YES"
|
|
- "NO"
|
|
|
|
- name: service_business_type
|
|
data_type: string
|
|
description: |
|
|
Identifies the service type (Screening, Deposit Management, Protection
|
|
or Guest Agreement) according to New Pricing documentation.
|
|
Cannot be null.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "SCREENING"
|
|
- "PROTECTION"
|
|
- "DEPOSIT_MANAGEMENT"
|
|
- "GUEST_AGREEMENT"
|
|
- "UNKNOWN"
|
|
- "UNSET"
|
|
|
|
- name: new_dash_version
|
|
data_type: string
|
|
description: |
|
|
The version of the New Dash. It corresponds to the
|
|
release or migration phase from user point of view.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: active_accommodations_per_deal_segmentation
|
|
data_type: string
|
|
description: |
|
|
Segment value based on the number of listings booked in 12 months
|
|
for a given deal and date.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "0"
|
|
- "01-05"
|
|
- "06-20"
|
|
- "21-60"
|
|
- "61+"
|
|
- "UNSET"
|
|
|
|
- name: main_billing_country_iso_3_per_deal
|
|
data_type: string
|
|
description: |
|
|
Main billing country of the host aggregated at Deal level.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: int_kpis__agg_weekly_new_dash_created_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for Weekly Created Bookings with Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_bookings
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: The weekly created bookings for a given date range, dimension and value.
|
|
|
|
- name: int_kpis__agg_monthly_new_dash_created_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for Monthly Created Bookings with Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is end_date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_bookings
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: The monthly created bookings for a given date range, dimension and value.
|
|
|
|
- name: int_kpis__agg_daily_new_dash_created_bookings
|
|
description: |
|
|
This model computes the dimension aggregation for Daily Created Bookings with Services.
|
|
It only retrieves services that come from users that are in New Dash, as well
|
|
as it only considers services created after the user has moved to New Dash.
|
|
The primary key of this model is date, dimension and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The daily date acting as time range for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- created_bookings
|
|
where: "dimension in ('by_number_of_listings', 'by_billing_country', 'by_new_dash_version', 'by_deal')"
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
- by_deal
|
|
- by_new_dash_version
|
|
- by_has_upgraded_service
|
|
- by_service
|
|
- by_service_business_type
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: created_bookings
|
|
data_type: bigint
|
|
description: The daily created bookings for a given date, dimension and value.
|
|
|
|
- name: int_kpis__agg_monthly_churn_contribution
|
|
description: |
|
|
This model calculates monthly churn contributions by dimension, dimension_value,
|
|
and date. Unlike typical KPI models, it relies exclusively on monthly metrics
|
|
computed at deal level and does not include data for the current month.
|
|
|
|
At its core, the model computes each deal's 12-month rolling contribution to global
|
|
metrics. Afterwards, it aggregates these contributions for deals classified as
|
|
'05-Churning' within the month. The output includes three churn-related contribution
|
|
metrics, expressed as ratios over global totals:
|
|
- total_revenue_churn_average_contribution
|
|
- created_bookings_churn_average_contribution
|
|
- listings_booked_in_month_churn_average_contribution
|
|
Besides these 3 metrics, the actual total revenue churned in the month and the global
|
|
total revenue windows are also included in the output. This is later used for YTD/MTD
|
|
dedicated models, which only require it for Total Revenue.
|
|
|
|
These are calculated using an average contribution approach over the prior 12 months.
|
|
If a deal has not been active for the full 12-month period, the average is still
|
|
computed based on the number of months the deal has been active within that window.
|
|
|
|
Note: When analysing dimensions other than 'global', the metrics represent the additive
|
|
share of churn relative to the global total. For example, if the total churn rate in a
|
|
month is 10%, it may be broken down as 9% from the USA and 1% from GBR — still totaling 10%.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: The date for the month-to-date metrics.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_revenue_churn_preceding_12_months
|
|
data_type: numeric
|
|
description: |
|
|
Total Revenue attributed to have churned considering the
|
|
revenue generated by the deals in the 12 months period.
|
|
|
|
- name: total_revenue_global_preceding_12_months
|
|
data_type: numeric
|
|
description: |
|
|
Total Revenue generated by all deals in the 12 months period.
|
|
|
|
- name: total_revenue_churn_average_contribution
|
|
data_type: numeric
|
|
description: Total Revenue churn rate (average approach).
|
|
|
|
- name: created_bookings_churn_average_contribution
|
|
data_type: numeric
|
|
description: Created Bookings churn rate (average approach).
|
|
|
|
- name: listings_booked_in_month_churn_average_contribution
|
|
data_type: numeric
|
|
description: Listings Booked in Month churn rate (average approach).
|
|
|
|
- name: int_kpis__agg_monthly_onboarding_mrr
|
|
description: |
|
|
This model contains the monthly aggregated metrics for onboarding MRR.
|
|
|
|
These metrics refer to the expectation of how much revenue is expected to
|
|
be generated from new deals, in average, in a monthly basis. This is a
|
|
projected value. Since Revenue is not a timely figure, the onboarding MRR
|
|
is shifted by one month. Keep in mind that the number of new deals are
|
|
the actual new deals onboarded in the month.
|
|
|
|
The metrics computed for this model are as follows:
|
|
- onboarding_mrr_per_new_deal_in_gbp: How much revenue in a month is expected
|
|
to be generated by a new deal?
|
|
- total_onboarding_mrr_in_gbp: How much revenue in a month is expected to be
|
|
generated by ALL new deals onboarded on that same month?
|
|
|
|
Additionally, it also contains "new_deals_count" for information purposes.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: The date for the monthly metrics, corresponding to the EOM.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_number_of_listings
|
|
- by_billing_country
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: new_deals_count
|
|
data_type: numeric
|
|
description: Number of new deals in the month, for information purposes.
|
|
|
|
- name: onboarding_mrr_per_new_deal_in_gbp
|
|
data_type: numeric
|
|
description: |
|
|
Expected onboarding MRR per new deal in GBP.
|
|
This is computed by:
|
|
- Gathering all live deals that have a hubspot listing segmentation available.
|
|
- Retrieving the total revenue of these deals in a given month.
|
|
- Dividing the total revenue by the number of live deals.
|
|
This is assumed to be the expected onboarding MRR per each new deal.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: total_onboarding_mrr_in_gbp
|
|
data_type: numeric
|
|
description: |
|
|
Total expected Onboarding MRR in GBP per date, dimension and dimension value.
|
|
This is computed by:
|
|
- Gathering the expected onboarding MRR per new deal for the dimension 'by_number_of_listings'
|
|
- Gathering the number of new deals for the dimension 'by_number_of_listings'
|
|
- Multiplying the two values, to get the total onboarding MRR for each listing segment
|
|
- Rolling up the total onboarding MRR for each listing segment to get the total onboarding MRR
|
|
for the Global dimension.
|
|
This is not available for 'by_billing_country' dimension, thus null values are expected.
|
|
|
|
- name: int_kpis__metric_daily_api_billable_verifications
|
|
description: |
|
|
This model computes the Daily Billable Verifications from APIs at
|
|
the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- date,
|
|
- id_deal,
|
|
- service_name.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- id_deal
|
|
- service_name
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: Date of when Verifications have been billable.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "API"
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: |
|
|
Name of the API service that has been billable.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "ATHENA"
|
|
- "E-DEPOSIT"
|
|
- "CHECK_IN_HERO"
|
|
- "SCREEN_AND_PROTECT"
|
|
|
|
- name: billable_verifications
|
|
data_type: bigint
|
|
description: |
|
|
Count of daily verifications billable in a given date and per specified dimension.
|
|
|
|
- name: int_kpis__agg_daily_api_billable_verifications
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Daily Billable Verifications, from APIs.
|
|
|
|
The primary key of this model is date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: date
|
|
data_type: date
|
|
description: |
|
|
The start and end date of the time range considered for
|
|
the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- billable_verifications
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_service
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_verifications
|
|
data_type: bigint
|
|
description: The daily billable verifications for a given date, dimension and value.
|
|
|
|
- name: int_kpis__metric_monthly_api_billable_verifications
|
|
description: |
|
|
This model computes the Monthly Billable Verifications from APIs at
|
|
the deepest granularity.
|
|
|
|
The unique key corresponds to the deepest granularity of the model,
|
|
in this case:
|
|
- end_date,
|
|
- id_deal,
|
|
- service_name.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- id_deal
|
|
- service_name
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: id_deal
|
|
data_type: string
|
|
description: Unique identifier of an account.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: business_scope
|
|
data_type: string
|
|
description: |
|
|
Business scope identifying the metric source.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "API"
|
|
|
|
- name: service_name
|
|
data_type: string
|
|
description: |
|
|
Name of the API service that has been billable.
|
|
data_tests:
|
|
- not_null
|
|
- accepted_values:
|
|
values:
|
|
- "ATHENA"
|
|
- "E-DEPOSIT"
|
|
- "CHECK_IN_HERO"
|
|
- "SCREEN_AND_PROTECT"
|
|
|
|
- name: billable_verifications
|
|
data_type: bigint
|
|
description: |
|
|
Count of monthly verifications billable in a given month and per
|
|
specified dimension.
|
|
|
|
- name: int_kpis__agg_monthly_api_billable_verifications
|
|
description: |
|
|
This model computes the dimension aggregation for
|
|
Monthly Billable Verifications, from APIs.
|
|
|
|
The primary key of this model is end_date, dimension
|
|
and dimension_value.
|
|
|
|
data_tests:
|
|
- dbt_utils.unique_combination_of_columns:
|
|
combination_of_columns:
|
|
- end_date
|
|
- dimension
|
|
- dimension_value
|
|
|
|
columns:
|
|
- name: start_date
|
|
data_type: date
|
|
description: |
|
|
The start date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: end_date
|
|
data_type: date
|
|
description: |
|
|
The end date of the time range considered for the metrics in this record.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: dimension
|
|
data_type: string
|
|
description: The dimension or granularity of the metrics.
|
|
data_tests:
|
|
- assert_dimension_completeness:
|
|
metric_column_names:
|
|
- billable_verifications
|
|
- accepted_values:
|
|
values:
|
|
- global
|
|
- by_service
|
|
- by_business_scope
|
|
- by_deal
|
|
|
|
- name: dimension_value
|
|
data_type: string
|
|
description: The value or segment available for the selected dimension.
|
|
data_tests:
|
|
- not_null
|
|
|
|
- name: billable_verifications
|
|
data_type: bigint
|
|
description: |
|
|
The monthly billable verifications for a given date, dimension and value.
|