434 lines
15 KiB
YAML
434 lines
15 KiB
YAML
version: 2
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models:
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- name: kpis__product_guest_daily_metrics
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description: |
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This model computes the Daily Guest Metrics at the deepest granularity.
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Here all metrics are attributed to the Check-in Date of the associated
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booking, except for payments which are attributed to payment date.
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The unique key corresponds to the deepest granularity of the model,
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in this case:
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- date_day,
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- py_date_day,
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- id_deal,
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- has_id_check,
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- main_billing_country_iso_3_per_deal.
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tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date_day
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- py_date_day
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- has_payment
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- has_id_check
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- main_billing_country_iso_3_per_deal
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columns:
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- name: date_day
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data_type: date
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description: "Date of when Guest Journeys have been completed."
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tests:
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- not_null
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- name: date_week
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data_type: string
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description: "Week number of when Guest Journeys have been completed."
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tests:
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- not_null
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- name: py_date_day
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data_type: date
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description: |
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Date on the previous year of when Guest Journeys have been completed.
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Note that this date can be NULL for leap days (29th February)
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- name: has_payment
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data_type: string
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description: Has there been any guest payments on the guest journey.
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tests:
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- not_null
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- accepted_values:
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values:
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- W/O Payment
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- With Payment
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- name: has_id_check
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data_type: string
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description: Does the verification in the guest journey
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includes Government Id Check for the bookings.
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tests:
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- not_null
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- accepted_values:
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values:
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- W/O Id Check
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- With Id Check
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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.
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tests:
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- not_null
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- name: created_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys created, excluding cancelled bookings,
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: created_guest_journeys_not_cancelled
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date_column: date_day
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- name: started_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys started, excluding cancelled bookings,
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: started_guest_journeys_not_cancelled
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date_column: date_day
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- name: completed_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys completed, excluding cancelled bookings,
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: completed_guest_journeys_not_cancelled
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date_column: date_day
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- name: created_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys created in a given date and
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per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: created_guest_journeys
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date_column: date_day
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- name: started_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys started in a given date and
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per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: started_guest_journeys
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date_column: date_day
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- name: completed_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys completed in a given date and
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per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: completed_guest_journeys
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date_column: date_day
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- name: total_csat_score_count
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data_type: bigint
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description: |
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Count of daily guest journeys with CSAT (customer satisfaction score)
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: total_csat_score_count
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date_column: date_day
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- name: average_csat_score
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data_type: bigint
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description: |
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Average daily CSAT score in a given date and per specified dimension.
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- name: deposit_fees_in_gbp
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data_type: decimal
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description: |
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Sum of deposit fees paid by guests, without taxes, in GBP
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: deposit_fees_in_gbp
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date_column: date_day
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- name: waiver_payments_in_gbp
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data_type: decimal
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description: |
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Sum of waiver payments paid by guests, without taxes, in GBP
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: waiver_payments_in_gbp
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date_column: date_day
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- name: checkin_cover_fees_in_gbp
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data_type: decimal
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description: |
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Sum of checkin cover fees paid by guests, without taxes, in GBP
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: checkin_cover_fees_in_gbp
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date_column: date_day
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- name: total_guest_payments_in_gbp
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data_type: decimal
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description: |
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Sum of total payments paid by guests, without taxes, in GBP
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in a given date and per specified dimension.
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tests:
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- kpis_daily_outlier_detector:
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column_name: total_guest_payments_in_gbp
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date_column: date_day
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- name: py_created_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys created (excluding canceled bookings)
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_started_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys started (excluding canceled bookings)
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_completed_guest_journeys_not_cancelled
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data_type: bigint
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description: |
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Count of daily guest journeys completed (excluding canceled bookings)
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_created_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys created on the same date in the previous year,
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segmented by the specified dimension.
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- name: py_started_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys started on the same date in the previous year,
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segmented by the specified dimension.
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- name: py_completed_guest_journeys
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data_type: bigint
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description: |
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Count of daily guest journeys completed on the same date in the previous year,
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segmented by the specified dimension.
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- name: py_total_csat_score_count
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data_type: bigint
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description: |
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Count of daily guest journeys with CSAT (customer satisfaction score)
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_average_csat_score
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data_type: bigint
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description: |
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Average daily CSAT score on the same date in the previous year,
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segmented by the specified dimension.
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- name: py_deposit_fees_in_gbp
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data_type: decimal
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description: |
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Sum of deposit fees paid by guests, excluding taxes, in GBP
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_waiver_payments_in_gbp
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data_type: decimal
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description: |
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Sum of waiver payments paid by guests, excluding taxes, in GBP
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_checkin_cover_fees_in_gbp
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data_type: decimal
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description: |
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Sum of check-in cover fees paid by guests, excluding taxes, in GBP
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on the same date in the previous year, segmented by the specified dimension.
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- name: py_total_guest_payments_in_gbp
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data_type: decimal
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description: |
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Sum of total payments paid by guests, excluding taxes, in GBP
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on the same date in the previous year, segmented by the specified dimension.
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- name: kpis__product_new_dash_agg_metrics
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description: |
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Reporting model for New Dash specific KPIs. It's an aggregated version
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of time granularity, dimension, dimension value and list of metrics
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with their value.
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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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- time_granularity
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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 specified in the time_granularity
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for the dimension, dimension_value and metrics in this record.
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tests:
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- not_null
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- name: time_granularity
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data_type: string
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description: The time dimension.
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tests:
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- accepted_values:
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values:
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- Daily
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- Weekly
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- Monthly
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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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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 Deal"
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- "By New Dash Version"
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- "By Has Upgraded Service"
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- "By Service"
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- "By Service Business Type"
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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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tests:
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- not_null
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- name: created_services
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data_type: bigint
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description: |
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The created services for a given time granularity, date or dates range,
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dimension and value.
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- name: booking_with_created_services_count
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data_type: bigint
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description: |
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The bookings with created services for a given time granularity, date or
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dates range, dimension and value.
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This is an approximation to booking count since different services can
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apply to the same booking and these do not need to be created in the same
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time period. Therefore, it's not an additive metric.
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- name: total_chargeable_services
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data_type: integer
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description: |
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The total chargeable services for a given time granularity, date or
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dates range, dimension and value.
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- name: total_chargeable_amount_in_gbp
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data_type: decimal
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description: |
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The total daily chargeable amount for a given time granularity, date or
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dates range, dimension and value, in GBP.
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- name: unique_chargeable_bookings
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data_type: integer
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description: |
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The unique daily chargeable bookings for a given time granularity, date or
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dates range, dimension and value.
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This metric is not additive, and its value can vary depending on the time
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period considered.
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- name: unique_chargeable_listings
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data_type: integer
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description: |
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The unique daily chargeable accommodations, or listings, for a given time
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granularity, date or dates range, dimension and value.
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This metric is not additive, and its value can vary depending on the time
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period considered.
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- name: kpis__product_guest_agg_metrics
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description:
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This model aggregates multiple metrics on a Year-to-date, Month-to-date or
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Week-to-date basis. This model changes the display format of the model
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int_kpis__product_guest_daily_metrics pivoting the metrics columns and
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adding a timeframe dimension.
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columns:
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- name: metric
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data_type: text
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description: Name of the business metric
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- name: has_payment
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data_type: string
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description: Has there been any guest payments on the guest journey.
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tests:
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- not_null
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- accepted_values:
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values:
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- W/O Payment
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- With Payment
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- name: has_id_check
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data_type: string
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description: Does the verification in the guest journey
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includes Government Id Check for the bookings.
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tests:
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- not_null
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- accepted_values:
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values:
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- W/O Id Check
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- With Id Check
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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.
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tests:
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- not_null
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- name: timeframe
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data_type: text
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description: |
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Timeframe considered for the aggregation, it could be Year-to-date,
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Month-to-date or Week-to-date
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tests:
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- not_null
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- accepted_values:
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values:
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- YTD
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- MTD
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- WTD
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- name: current_value
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data_type: numeric
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description: |
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Numeric value (integer or decimal) that corresponds to the timeframe
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computation of the metric at the current date.
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For example if the current date is 27/11/2024 and the timeframe is MTD,
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then this value would correspond to the computation of the metric for
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the dates between 01/11/2024 and 27/11/2024.
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- name: py_value
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data_type: numeric
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description: |
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Numeric value (integer or decimal) that corresponds to the timeframe
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computation of the metric at the current date but on the previous year.
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For example if the current date is 27/11/2024 and the timeframe is MTD,
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then this value would correspond to the computation of the metric for
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the dates between 01/11/2023 and 27/11/2023.
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- name: pp_value
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data_type: numeric
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description: |
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Numeric value (integer or decimal) that corresponds to the timeframe
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computation of the metric at the current date but on the previous period.
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For example if the current date is 27/11/2024 and the timeframe is MTD,
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then this value would correspond to the computation of the metric for
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the dates between 01/10/2024 and 27/10/2024.
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