Merged PR 3512: Guest KPIs reporting
# Description Model of guest KPIs to reporting # Checklist - [x] The edited models and dependants run properly with production data. - [x] The edited models are sufficiently documented. - [x] The edited models contain PK tests, and I've ran and passed them. - [x] I have checked for DRY opportunities with other models and docs. - [ ] I've picked the right materialization for the affected models. # Other - [ ] Check if a full-refresh is required after this PR is merged. Guest KPIs reporting Related work items: #23998
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Joaquin Ossa
commit
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36
models/reporting/kpis/kpis__product_guest_daily_metrics.sql
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models/reporting/kpis/kpis__product_guest_daily_metrics.sql
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with
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int_kpis__product_guest_daily_metrics as (
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select * from {{ ref("int_kpis__product_guest_daily_metrics") }}
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)
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select
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date_day as date_day,
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py_date_day as py_date_day,
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has_payment as has_payment,
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has_id_check as has_id_check,
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created_guest_journeys_not_cancelled as created_guest_journeys_not_cancelled,
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started_guest_journeys_not_cancelled as started_guest_journeys_not_cancelled,
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completed_guest_journeys_not_cancelled as completed_guest_journeys_not_cancelled,
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created_guest_journeys as created_guest_journeys,
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started_guest_journeys as started_guest_journeys,
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completed_guest_journeys as completed_guest_journeys,
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total_csat_score_count as total_csat_score_count,
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average_csat_score as average_csat_score,
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deposit_fees_in_gbp as deposit_fees_in_gbp,
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waiver_payments_in_gbp as waiver_payments_in_gbp,
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checkin_cover_fees_in_gbp as checkin_cover_fees_in_gbp,
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total_guest_payments_in_gbp as total_guest_payments_in_gbp,
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py_created_guest_journeys_not_cancelled as py_created_guest_journeys_not_cancelled,
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py_started_guest_journeys_not_cancelled as py_started_guest_journeys_not_cancelled,
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py_completed_guest_journeys_not_cancelled
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as py_completed_guest_journeys_not_cancelled,
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py_created_guest_journeys as py_created_guest_journeys,
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py_started_guest_journeys as py_started_guest_journeys,
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py_completed_guest_journeys as py_completed_guest_journeys,
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py_total_csat_score_count as py_total_csat_score_count,
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py_average_csat_score as py_average_csat_score,
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py_deposit_fees_in_gbp as py_deposit_fees_in_gbp,
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py_waiver_payments_in_gbp as py_waiver_payments_in_gbp,
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py_checkin_cover_fees_in_gbp as py_checkin_cover_fees_in_gbp,
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py_total_guest_payments_in_gbp as py_total_guest_payments_in_gbp
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from int_kpis__product_guest_daily_metrics
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199
models/reporting/kpis/schema.yml
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models/reporting/kpis/schema.yml
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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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- 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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