Merged PR 3476: daily model for guest products
# Description Replacement PR from the abandondes one for daily metrics for guest KPI model # 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. daily model for guest products Related work items: #23371
This commit is contained in:
Joaquin Ossa
commit
b2e9a3e0da
3 changed files with 379 additions and 0 deletions
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with
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unique_dimensions as (
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select distinct has_payment, has_id_check
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from {{ ref("int_kpis__metric_daily_check_in_attributed_guest_journeys") }}
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)
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select d.date_day, ud.has_payment, ud.has_id_check
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from {{ ref("int_dates") }} as d
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cross join unique_dimensions as ud
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where d.date_day >= {{ var("start_date") }}
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{% set has_payment_true = "('With Payment')" %}
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with
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guest_journey_metrics as (
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select
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gj.date,
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gj.has_payment,
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gj.has_id_check,
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sum(
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gj.created_guest_journeys_not_cancelled
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) as created_guest_journeys_not_cancelled,
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sum(
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gj.started_guest_journeys_not_cancelled
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) as started_guest_journeys_not_cancelled,
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sum(
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gj.completed_guest_journeys_not_cancelled
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) as completed_guest_journeys_not_cancelled,
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sum(gj.created_guest_journeys) as created_guest_journeys,
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sum(gj.started_guest_journeys) as started_guest_journeys,
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sum(gj.completed_guest_journeys) as completed_guest_journeys,
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sum(gj.count_csat_score) as total_csat_score_count,
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case
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when sum(gj.count_csat_score) > 0
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then
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sum(gj.average_csat_score * gj.count_csat_score)
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/ sum(gj.count_csat_score)
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else null
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end as average_csat_score
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from {{ ref("int_kpis__metric_daily_check_in_attributed_guest_journeys") }} gj
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group by gj.date, gj.has_payment, gj.has_id_check
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),
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guest_payment_metrics as (
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select
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gp.date,
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gp.has_id_check,
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sum(gp.deposit_fees_in_gbp) as deposit_fees_in_gbp,
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sum(gp.waiver_payments_in_gbp) as waiver_payments_in_gbp,
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sum(gp.checkin_cover_fees_in_gbp) as checkin_cover_fees_in_gbp,
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sum(gp.total_guest_payments_in_gbp) as total_guest_payments_in_gbp
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from {{ ref("int_kpis__metric_daily_guest_payments") }} gp
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group by gp.date, gp.has_id_check
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),
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guest_kpis as (
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select
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dd.date_day,
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dd.has_payment,
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dd.has_id_check,
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gj.created_guest_journeys_not_cancelled,
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gj.started_guest_journeys_not_cancelled,
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gj.completed_guest_journeys_not_cancelled,
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gj.created_guest_journeys,
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gj.started_guest_journeys,
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gj.completed_guest_journeys,
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gj.total_csat_score_count,
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gj.average_csat_score,
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gp.deposit_fees_in_gbp,
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gp.waiver_payments_in_gbp,
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gp.checkin_cover_fees_in_gbp,
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gp.total_guest_payments_in_gbp
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from {{ ref("int_kpis__dimension_date_product_guest") }} dd
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left join
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guest_journey_metrics gj
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on gj.date = dd.date_day
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and gj.has_payment = dd.has_payment
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and gj.has_id_check = dd.has_id_check
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left join
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guest_payment_metrics gp
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on gp.date = dd.date_day
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and gp.has_id_check = dd.has_id_check
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and dd.has_payment = {{ has_payment_true }}
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)
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select
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gk.date_day,
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gk_py.date_day as py_date_day,
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gk.has_payment,
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gk.has_id_check,
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sum(
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gk.created_guest_journeys_not_cancelled
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) as created_guest_journeys_not_cancelled,
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sum(
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gk.started_guest_journeys_not_cancelled
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) as started_guest_journeys_not_cancelled,
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sum(
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gk.completed_guest_journeys_not_cancelled
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) as completed_guest_journeys_not_cancelled,
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sum(gk.created_guest_journeys) as created_guest_journeys,
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sum(gk.started_guest_journeys) as started_guest_journeys,
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sum(gk.completed_guest_journeys) as completed_guest_journeys,
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sum(gk.total_csat_score_count) as total_csat_score_count,
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case
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when sum(gk.total_csat_score_count) > 0
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then
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sum(gk.average_csat_score * gk.total_csat_score_count)
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/ sum(gk.total_csat_score_count)
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else null
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end as average_csat_score,
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sum(gk.deposit_fees_in_gbp) as deposit_fees_in_gbp,
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sum(gk.waiver_payments_in_gbp) as waiver_payments_in_gbp,
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sum(gk.checkin_cover_fees_in_gbp) as checkin_cover_fees_in_gbp,
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sum(gk.total_guest_payments_in_gbp) as total_guest_payments_in_gbp,
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sum(
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gk_py.created_guest_journeys_not_cancelled
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) as py_created_guest_journeys_not_cancelled,
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sum(
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gk_py.started_guest_journeys_not_cancelled
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) as py_started_guest_journeys_not_cancelled,
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sum(
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gk_py.completed_guest_journeys_not_cancelled
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) as py_completed_guest_journeys_not_cancelled,
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sum(gk_py.created_guest_journeys) as py_created_guest_journeys,
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sum(gk_py.started_guest_journeys) as py_started_guest_journeys,
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sum(gk_py.completed_guest_journeys) as py_completed_guest_journeys,
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sum(gk_py.total_csat_score_count) as py_total_csat_score_count,
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case
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when sum(gk_py.total_csat_score_count) > 0
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then
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sum(gk_py.average_csat_score * gk_py.total_csat_score_count)
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/ sum(gk_py.total_csat_score_count)
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else null
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end as py_average_csat_score,
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sum(gk_py.deposit_fees_in_gbp) as py_deposit_fees_in_gbp,
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sum(gk_py.waiver_payments_in_gbp) as py_waiver_payments_in_gbp,
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sum(gk_py.checkin_cover_fees_in_gbp) as py_checkin_cover_fees_in_gbp,
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sum(gk_py.total_guest_payments_in_gbp) as py_total_guest_payments_in_gbp
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from guest_kpis gk
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left join
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guest_kpis gk_py
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on gk.date_day = gk_py.date_day + interval '1 year'
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and gk.has_payment = gk_py.has_payment
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and gk.has_id_check = gk_py.has_id_check
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-- Here we use a group by because of leap days that generate duplicity when being
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-- moved to another year
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group by gk.date_day, gk_py.date_day, gk.has_payment, gk.has_id_check
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@ -5866,3 +5866,239 @@ models:
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data_type: bigint
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description: |
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Count of listings booked within the past 12 months for a given date, dimension and value.
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- name: int_kpis__dimension_date_product_guest
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description: |
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This model computes a cross join of dates with all combinations of
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guest products dimensions.
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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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- 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: 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: int_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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|
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