Created new kpi daily model for new dash users
This commit is contained in:
Joaquin
parent
c0a1e90fae
commit
1ebd1c5ccb
5 changed files with 213 additions and 173 deletions
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@ -68,9 +68,6 @@ vars:
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# New Dash First Invoicing Date. This is the first date considered for New Dash invoicing.
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"new_dash_first_invoicing_date": "'2024-12-31'"
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# New Dash First Date. This is the first date considered for New Dash.
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"new_dash_first_date": "'2024-07-30'"
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# A distant future date to use as a default when cutoff values are missing.
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"end_of_time": "'2050-12-31'"
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@ -1,134 +0,0 @@
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with
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int_dates as (select * from {{ ref("int_dates") }}),
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int_core__user_host as (select * from {{ ref("int_core__user_host") }}),
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int_hubspot__deal as (select * from {{ ref("int_hubspot__deal") }}),
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int_core__user_product_bundle as (
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select * from {{ ref("int_core__user_product_bundle") }}
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),
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int_core__user_product_bundle_contains_services as (
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select * from {{ ref("int_core__user_product_bundle_contains_services") }}
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),
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int_core__accommodation_to_product_bundle as (
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select * from {{ ref("int_core__accommodation_to_product_bundle") }}
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),
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int_core__booking_summary as (select * from {{ ref("int_core__booking_summary") }}),
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user_services as (
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select
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bs.id_user_product_bundle,
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bs.id_user_host,
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uh.user_in_new_dash_since_date_utc,
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bs.product_service_display_name as service_display_name,
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uh.user_in_new_dash_since_date_utc as effective_start_date_utc,
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coalesce(
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hd.cancellation_date_utc, {{ var("end_of_time") }}
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) as effective_end_date_utc
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from int_core__user_product_bundle_contains_services bs
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inner join
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int_core__user_host uh
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on bs.id_user_host = uh.id_user_host
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and uh.is_user_in_new_dash = true
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and uh.is_missing_id_deal = false
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and uh.is_test_account = false
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left join int_hubspot__deal hd on uh.id_deal = hd.id_deal
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-- Union of all product services with all protection plan services.
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-- This is because there are basically two types of services: product services
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-- and protection plan services and they are stored in different tables.
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union all
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select
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pb.id_user_product_bundle,
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pb.id_user_host,
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uh.user_in_new_dash_since_date_utc,
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coalesce(
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pb.protection_display_name, {{ var("default_service") }}
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) as service_display_name,
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pb.effective_start_date_utc,
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coalesce(
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hd.cancellation_date_utc,
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pb.effective_end_date_utc,
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{{ var("end_of_time") }}
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) as effective_end_date_utc
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from int_core__user_product_bundle pb
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inner join
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int_core__user_host uh
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on pb.id_user_host = uh.id_user_host
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and uh.is_user_in_new_dash = true
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and uh.is_missing_id_deal = false
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and uh.is_test_account = false
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left join int_hubspot__deal hd on uh.id_deal = hd.id_deal
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),
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agg_user_services as (
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select
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d.date_day,
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coalesce(us.service_display_name, 'GLOBAL') as service_display_name,
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count(distinct us.id_user_host) as count_users
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from int_dates d
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left join
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user_services us
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on d.date_day >= us.user_in_new_dash_since_date_utc
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and d.date_day
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between us.effective_start_date_utc and us.effective_end_date_utc
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where d.date_day between {{ var("new_dash_first_date") }} and current_date - 1
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group by 1, rollup (us.service_display_name)
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),
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listing_services as (
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select
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us.service_display_name,
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apb.id_accommodation,
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apb.effective_start_date_utc,
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coalesce(
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apb.effective_end_date_utc, {{ var("end_of_time") }}
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) as effective_end_date_utc
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from user_services us
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inner join
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int_core__accommodation_to_product_bundle apb
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on us.id_user_product_bundle = apb.id_user_product_bundle
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),
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agg_listing_services as (
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select
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d.date_day,
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coalesce(ls.service_display_name, 'GLOBAL') as service_display_name,
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count(distinct ls.id_accommodation) as count_accommodations
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from int_dates d
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inner join
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listing_services ls
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on d.date_day between {{ var("new_dash_first_date") }} and current_date - 1
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and d.date_day
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between ls.effective_start_date_utc and ls.effective_end_date_utc
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group by 1, rollup (ls.service_display_name)
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),
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booking_services as (
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select us.service_display_name, bs.id_booking, bs.booking_created_date_utc
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from user_services us
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inner join
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int_core__booking_summary bs
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on us.id_user_product_bundle = bs.id_user_product_bundle
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and bs.booking_created_date_utc
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between us.user_in_new_dash_since_date_utc and us.effective_end_date_utc
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),
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agg_booking_services as (
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select
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d.date_day,
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coalesce(bs.service_display_name, 'GLOBAL') as service_display_name,
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count(distinct bs.id_booking) as count_bookings
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from int_dates d
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inner join
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booking_services bs
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on d.date_day between {{ var("new_dash_first_date") }} and current_date - 1
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and d.date_day = bs.booking_created_date_utc
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group by 1, rollup (bs.service_display_name)
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)
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select
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aus.date_day,
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aus.service_display_name,
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coalesce(aus.count_users, 0) as count_users,
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coalesce(als.count_accommodations, 0) as count_accommodations,
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coalesce(abs.count_bookings, 0) as count_bookings
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from agg_user_services aus
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left join
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agg_listing_services als
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on aus.date_day = als.date_day
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and aus.service_display_name = als.service_display_name
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left join
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agg_booking_services abs
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on aus.date_day = abs.date_day
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and aus.service_display_name = abs.service_display_name
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@ -5319,6 +5319,9 @@ models:
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description: "This model contains the the services offered in New Dash.
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These offers are displayed by different measures, such as the number of users,
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accommodations and bookings."
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meta:
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deprecated: true
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deprecation_date: "2025-06-30"
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columns:
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- name: service_display_name
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@ -6084,39 +6087,3 @@ models:
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Date of when this record was last updated.
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data_tests:
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- not_null
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- name: int_core__daily_new_dash_services_applied
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description: |
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This model tracks the daily usage of different services of New Dash
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applied across users, listings, and bookings.
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date_day
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- service_display_name
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columns:
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- name: date_day
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data_type: date
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description: "The date for which the service usage is recorded."
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data_tests:
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- not_null
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- name: service_display_name
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data_type: string
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description: "The name of the service being tracked. 'Global' aggregates all services."
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data_tests:
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- not_null
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- name: count_users
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data_type: integer
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description: "The number of distinct users (hosts) who have applied this service."
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- name: count_accommodations
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data_type: integer
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description: "The number of distinct listings that have this service applied."
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- name: count_bookings
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data_type: integer
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description: "The number of distinct bookings that have this service applied."
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@ -0,0 +1,92 @@
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{{
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config(
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materialized="table",
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unique_key=[
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"id_user_host",
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"id_user_product_bundle",
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"service_name",
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"date",
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"service_business_type",
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],
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)
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}}
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select
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-- Unique Key --
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d.date_day as date,
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bs.id_user_host,
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bs.id_user_product_bundle,
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bs.product_service_display_name as service_name,
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coalesce(ps.service_business_type, 'UNSET') as service_business_type,
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-- Dimensions --
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coalesce(uh.id_deal, 'UNSET') as id_deal,
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case when ps.is_default_service then 'NO' else 'YES' end as is_upgraded_service,
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coalesce(uh.new_dash_version, 'UNSET') as new_dash_version,
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coalesce(
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uh.main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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coalesce(
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icmas.active_accommodations_per_deal_segmentation, 'UNSET'
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) as active_accommodations_per_deal_segmentation
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from {{ ref("int_dates") }} as d
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inner join
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{{ ref("int_core__user_host") }} as uh
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on uh.is_user_in_new_dash = true
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and uh.is_missing_id_deal = false
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and uh.is_test_account = false
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and d.date_day between uh.user_in_new_dash_since_date_utc and current_date - 1
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inner join
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{{ ref("int_core__user_product_bundle_contains_services") }} as bs
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on uh.id_user_host = bs.id_user_host
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left join
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{{ ref("stg_core__product_service") }} as ps
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on ps.product_service_display_name = bs.product_service_display_name
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left join
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{{ ref("int_hubspot__deal") }} as hd
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on uh.id_deal = hd.id_deal
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and coalesce(hd.cancellation_date_utc, {{ var("end_of_time") }}) >= d.date_day
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left join
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{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
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on uh.id_deal = icmas.id_deal
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and d.date_day = icmas.date
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-- Union of all product services with all protection plan services.
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-- This is because there are basically two types of services: product services
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-- and protection plan services and they are stored in different tables.
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union all
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select
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-- Unique Key --
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d.date_day as date,
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pb.id_user_host,
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pb.id_user_product_bundle,
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coalesce(pb.protection_display_name, {{ var("default_service") }}) as service_name,
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'PROTECTION' as service_business_type,
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-- Dimensions --
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coalesce(uh.id_deal, 'UNSET') as id_deal,
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case when pp.is_default_service then 'NO' else 'YES' end as is_upgraded_service,
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coalesce(uh.new_dash_version, 'UNSET') as new_dash_version,
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coalesce(
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uh.main_billing_country_iso_3_per_deal, 'UNSET'
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) as main_billing_country_iso_3_per_deal,
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coalesce(
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icmas.active_accommodations_per_deal_segmentation, 'UNSET'
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) as active_accommodations_per_deal_segmentation
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from {{ ref("int_dates") }} as d
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inner join
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{{ ref("int_core__user_host") }} as uh
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on uh.is_user_in_new_dash = true
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and uh.is_missing_id_deal = false
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and uh.is_test_account = false
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and d.date_day between uh.user_in_new_dash_since_date_utc and current_date - 1
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inner join
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{{ ref("int_core__user_product_bundle") }} as pb
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on uh.id_user_host = pb.id_user_host
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left join
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{{ ref("stg_core__protection_plan") }} as pp
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on pp.protection_display_name = pb.protection_display_name
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left join
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{{ ref("int_hubspot__deal") }} as hd
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on uh.id_deal = hd.id_deal
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and coalesce(hd.cancellation_date_utc, {{ var("end_of_time") }}) >= d.date_day
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left join
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{{ ref("int_kpis__dimension_daily_accommodation") }} as icmas
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on uh.id_deal = icmas.id_deal
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and d.date_day = icmas.date
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@ -7383,3 +7383,121 @@ models:
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The unique daily chargeable accommodations, or listings, in a given time range
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and per specified dimension. This metric is not additive, and its value
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can vary depending on the time period considered.
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- name: int_kpis__metric_daily_new_dash_users_offered_services
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description: |
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This model computes the Daily Offered Services by Users at the deepest granularity.
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It only retrieves services that come from users that are in New Dash, as well
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as it only considers services created after the user has moved to New Dash.
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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,
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- id_user_host,
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- id_user_product_bundle,
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- service_name,
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- service_business_type
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data_tests:
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- dbt_utils.unique_combination_of_columns:
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combination_of_columns:
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- date
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- id_user_host
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- id_user_product_bundle
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- service_name
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- service_business_type
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columns:
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- name: date
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data_type: date
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description: Date of when user has a bundle with service active.
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data_tests:
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- not_null
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- name: id_user_host
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data_type: bigint
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description: Unique identifier of the User Host.
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data_tests:
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- not_null
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- name: id_user_product_bundle
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data_type: bigint
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description: Unique identifier of the User Product Bundle.
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data_tests:
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- not_null
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- name: service_name
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data_type: string
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description: Name of the created service.
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data_tests:
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- not_null
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- name: id_deal
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data_type: string
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description: Unique identifier of an account.
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data_tests:
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- not_null
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- name: is_upgraded_service
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data_type: string
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description: |
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Whether the service is an upgraded version of the
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default. In other words, if it's not Basic Screening.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "YES"
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- "NO"
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- name: service_business_type
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data_type: string
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description: |
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Identifies the service type (Screening, Deposit Management, Protection
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or Guest Agreement) according to New Pricing documentation.
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Cannot be null.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "SCREENING"
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- "PROTECTION"
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- "DEPOSIT_MANAGEMENT"
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- "GUEST_AGREEMENT"
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- "UNKNOWN"
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- "UNSET"
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- name: new_dash_version
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data_type: string
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description: |
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The version of the New Dash. It corresponds to the
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release or migration phase from user point of view.
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data_tests:
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- not_null
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- name: active_accommodations_per_deal_segmentation
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data_type: string
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description: |
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Segment value based on the number of listings booked in 12 months
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for a given deal and date.
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data_tests:
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- not_null
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- accepted_values:
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values:
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- "0"
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- "01-05"
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- "06-20"
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- "21-60"
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- "61+"
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- "UNSET"
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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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data_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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Count of daily services created in a given date and per specified dimension.
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