2024-11-12 14:41:01 +01:00
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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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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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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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2024-11-18 11:23:25 +01:00
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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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2024-11-12 14:41:01 +01:00
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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: 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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- 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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- 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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- 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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- 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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- 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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- name: count_csat_score
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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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- 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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- 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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- 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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- 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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- 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_count_csat_score
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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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