aggregated to agg
This commit is contained in:
Joaquin
parent
f601b69c7d
commit
092e37d58c
28 changed files with 94 additions and 94 deletions
|
|
@ -1,9 +1,9 @@
|
|||
{{ config(materialized="table", unique_key=["date", "id_deal"]) }}
|
||||
with
|
||||
int_monthly_aggregated_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_aggregated_metrics_history_by_deal") }}
|
||||
int_monthly_agg_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_agg_metrics_history_by_deal") }}
|
||||
),
|
||||
aggregated_metrics_by_deal_over_12_months as (
|
||||
agg_metrics_by_deal_over_12_months as (
|
||||
select
|
||||
am.date,
|
||||
am.id_deal,
|
||||
|
|
@ -28,7 +28,7 @@ with
|
|||
order by am.date
|
||||
rows between 12 preceding and 1 preceding
|
||||
) as sum_listings_booked_in_month_preceding_12_months
|
||||
from int_monthly_aggregated_metrics_history_by_deal am
|
||||
from int_monthly_agg_metrics_history_by_deal am
|
||||
),
|
||||
global_computation_over_12_months as (
|
||||
select
|
||||
|
|
@ -73,7 +73,7 @@ with
|
|||
) over (partition by ambd.date)
|
||||
as avg_global_listings_booked_in_month_preceding_12_months
|
||||
|
||||
from aggregated_metrics_by_deal_over_12_months ambd
|
||||
from agg_metrics_by_deal_over_12_months ambd
|
||||
)
|
||||
select
|
||||
id_deal,
|
||||
|
|
|
|||
|
|
@ -10,47 +10,47 @@ with
|
|||
),
|
||||
created_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_created_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_created_bookings") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
check_out_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_check_out_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_check_out_bookings") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
cancelled_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_cancelled_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_cancelled_bookings") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
billable_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_billable_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_billable_bookings") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
created_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_created_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_created_guest_journeys") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
started_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_started_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_started_guest_journeys") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
completed_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_completed_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_completed_guest_journeys") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
guest_journeys_with_payment as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_guest_journeys_with_payment") }}
|
||||
from {{ ref("int_kpis__agg_monthly_guest_journeys_with_payment") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
guest_payments as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_guest_payments") }}
|
||||
from {{ ref("int_kpis__agg_monthly_guest_payments") }}
|
||||
where dimension in ('by_deal') and dimension_value <> 'UNSET'
|
||||
),
|
||||
int_xero__monthly_invoicing_history_by_deal as (
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
{{ config(materialized="table", unique_key=["date", "id_deal"]) }}
|
||||
with
|
||||
int_monthly_aggregated_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_aggregated_metrics_history_by_deal") }}
|
||||
int_monthly_agg_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_agg_metrics_history_by_deal") }}
|
||||
),
|
||||
int_hubspot__deal as (select * from {{ ref("int_hubspot__deal") }}),
|
||||
deal_history_from_previous_months as (
|
||||
|
|
@ -17,7 +17,7 @@ with
|
|||
coalesce(total_revenue_in_gbp, 0) as revenue_in_gbp,
|
||||
coalesce(created_bookings, 0) as created_bookings,
|
||||
coalesce(listings_booked_in_month, 0) as listings_booked_in_month
|
||||
from int_monthly_aggregated_metrics_history_by_deal am
|
||||
from int_monthly_agg_metrics_history_by_deal am
|
||||
-- Do not show data of ongoing month
|
||||
where am.date < date_trunc('month', current_date)::date
|
||||
),
|
||||
|
|
@ -71,7 +71,7 @@ with
|
|||
coalesce(sum(previous_twelve_months.revenue_in_gbp), 0), 0
|
||||
) as effective_deal_revenue_12_months_window
|
||||
from deal_history_from_previous_months as given_month
|
||||
-- Retrieve aggregated data from same deal from the previous twelve
|
||||
-- Retrieve agg data from same deal from the previous twelve
|
||||
-- months
|
||||
left join
|
||||
deal_history_from_previous_months as previous_twelve_months
|
||||
|
|
@ -81,7 +81,7 @@ with
|
|||
and given_month.first_day_month
|
||||
>= previous_twelve_months.first_day_month + interval '1 months'
|
||||
group by 1, 2
|
||||
) as aggregated_revenue_data_before_partition
|
||||
) as agg_revenue_data_before_partition
|
||||
),
|
||||
metrics_attribution_to_given_month_per_deal as (
|
||||
select
|
||||
|
|
@ -100,10 +100,10 @@ with
|
|||
previous_2_month.first_day_month as previous_2_month_first_day_month,
|
||||
previous_12_month.first_day_month as previous_12_month_first_day_month,
|
||||
previous_13_month.first_day_month as previous_13_month_first_day_month,
|
||||
aggregated_12m_window.from_first_day_month
|
||||
as aggregated_revenue_from_first_day_month,
|
||||
aggregated_12m_window.to_first_day_month
|
||||
as aggregated_revenue_to_first_day_month,
|
||||
agg_12m_window.from_first_day_month
|
||||
as agg_revenue_from_first_day_month,
|
||||
agg_12m_window.to_first_day_month
|
||||
as agg_revenue_to_first_day_month,
|
||||
|
||||
-- Revenue --
|
||||
given_month.revenue_in_gbp as given_month_revenue_in_gbp,
|
||||
|
|
@ -154,54 +154,54 @@ with
|
|||
|
||||
-- 12 Months Window (Account Size) --
|
||||
-- Bookings --
|
||||
aggregated_12m_window.deal_created_bookings_12_months_window,
|
||||
aggregated_12m_window.global_created_bookings_12_months_window,
|
||||
agg_12m_window.deal_created_bookings_12_months_window,
|
||||
agg_12m_window.global_created_bookings_12_months_window,
|
||||
coalesce(
|
||||
cast(
|
||||
aggregated_12m_window.deal_created_bookings_12_months_window
|
||||
agg_12m_window.deal_created_bookings_12_months_window
|
||||
as decimal
|
||||
) / nullif(
|
||||
aggregated_12m_window.global_created_bookings_12_months_window, 0
|
||||
agg_12m_window.global_created_bookings_12_months_window, 0
|
||||
),
|
||||
0
|
||||
) as deal_contribution_share_to_global_created_bookings,
|
||||
aggregated_12m_window.deal_contribution_rank_to_global_created_bookings,
|
||||
agg_12m_window.deal_contribution_rank_to_global_created_bookings,
|
||||
|
||||
-- Listings --
|
||||
round(
|
||||
aggregated_12m_window.deal_avg_listings_booked_in_month_12_months_window,
|
||||
agg_12m_window.deal_avg_listings_booked_in_month_12_months_window,
|
||||
2
|
||||
) as deal_avg_listings_booked_in_month_12_months_window,
|
||||
round(
|
||||
aggregated_12m_window.global_avg_listings_booked_in_month_12_months_window,
|
||||
agg_12m_window.global_avg_listings_booked_in_month_12_months_window,
|
||||
2
|
||||
) as global_avg_listings_booked_in_month_12_months_window,
|
||||
coalesce(
|
||||
cast(
|
||||
aggregated_12m_window.deal_avg_listings_booked_in_month_12_months_window
|
||||
agg_12m_window.deal_avg_listings_booked_in_month_12_months_window
|
||||
as decimal
|
||||
) / nullif(
|
||||
aggregated_12m_window.global_avg_listings_booked_in_month_12_months_window,
|
||||
agg_12m_window.global_avg_listings_booked_in_month_12_months_window,
|
||||
0
|
||||
),
|
||||
0
|
||||
) as deal_contribution_share_to_global_avg_listings_booked_in_month,
|
||||
aggregated_12m_window.deal_contribution_rank_to_global_avg_listings_booked_in_month,
|
||||
agg_12m_window.deal_contribution_rank_to_global_avg_listings_booked_in_month,
|
||||
|
||||
-- Revenue --
|
||||
aggregated_12m_window.deal_revenue_12_months_window,
|
||||
aggregated_12m_window.effective_deal_revenue_12_months_window,
|
||||
aggregated_12m_window.effective_global_revenue_12_months_window,
|
||||
agg_12m_window.deal_revenue_12_months_window,
|
||||
agg_12m_window.effective_deal_revenue_12_months_window,
|
||||
agg_12m_window.effective_global_revenue_12_months_window,
|
||||
coalesce(
|
||||
cast(
|
||||
aggregated_12m_window.effective_deal_revenue_12_months_window
|
||||
agg_12m_window.effective_deal_revenue_12_months_window
|
||||
as decimal
|
||||
) / nullif(
|
||||
aggregated_12m_window.effective_global_revenue_12_months_window, 0
|
||||
agg_12m_window.effective_global_revenue_12_months_window, 0
|
||||
),
|
||||
0
|
||||
) as deal_contribution_share_to_global_revenue,
|
||||
aggregated_12m_window.deal_contribution_rank_to_global_revenue
|
||||
agg_12m_window.deal_contribution_rank_to_global_revenue
|
||||
|
||||
from deal_history_from_previous_months as given_month
|
||||
-- Retrieve monthly data from same deal and previous month
|
||||
|
|
@ -232,9 +232,9 @@ with
|
|||
and previous_13_month.id_deal = given_month.id_deal
|
||||
-- Retrieve aggregation over 12 previous months
|
||||
left join
|
||||
revenue_12_months_window_aggregation_per_deal aggregated_12m_window
|
||||
on aggregated_12m_window.id_deal = given_month.id_deal
|
||||
and aggregated_12m_window.first_day_month = given_month.first_day_month
|
||||
revenue_12_months_window_aggregation_per_deal agg_12m_window
|
||||
on agg_12m_window.id_deal = given_month.id_deal
|
||||
and agg_12m_window.first_day_month = given_month.first_day_month
|
||||
),
|
||||
growth_score_computation as (
|
||||
select
|
||||
|
|
@ -250,8 +250,8 @@ with
|
|||
m.previous_2_month_first_day_month,
|
||||
m.previous_12_month_first_day_month,
|
||||
m.previous_13_month_first_day_month,
|
||||
m.aggregated_revenue_from_first_day_month,
|
||||
m.aggregated_revenue_to_first_day_month,
|
||||
m.agg_revenue_from_first_day_month,
|
||||
m.agg_revenue_to_first_day_month,
|
||||
|
||||
m.given_month_revenue_in_gbp,
|
||||
m.previous_1_month_revenue_in_gbp,
|
||||
|
|
@ -358,8 +358,8 @@ select
|
|||
gsc.previous_2_month_first_day_month,
|
||||
gsc.previous_12_month_first_day_month,
|
||||
gsc.previous_13_month_first_day_month,
|
||||
gsc.aggregated_revenue_from_first_day_month,
|
||||
gsc.aggregated_revenue_to_first_day_month,
|
||||
gsc.agg_revenue_from_first_day_month,
|
||||
gsc.agg_revenue_to_first_day_month,
|
||||
|
||||
gsc.given_month_revenue_in_gbp,
|
||||
gsc.previous_1_month_revenue_in_gbp,
|
||||
|
|
|
|||
|
|
@ -6,104 +6,104 @@ previous year for each line & computing relative increment. --
|
|||
with
|
||||
created_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_created_bookings") }}
|
||||
from {{ ref("int_kpis__agg_mtd_created_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_created_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_created_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
check_out_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_check_out_bookings") }}
|
||||
from {{ ref("int_kpis__agg_mtd_check_out_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_check_out_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_check_out_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
cancelled_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_cancelled_bookings") }}
|
||||
from {{ ref("int_kpis__agg_mtd_cancelled_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_cancelled_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_cancelled_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
billable_bookings as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_billable_bookings") }}
|
||||
from {{ ref("int_kpis__agg_mtd_billable_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_billable_bookings") }}
|
||||
from {{ ref("int_kpis__agg_monthly_billable_bookings") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
created_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_created_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_mtd_created_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_created_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_created_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
started_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_started_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_mtd_started_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_started_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_started_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
completed_guest_journeys as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_completed_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_mtd_completed_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_completed_guest_journeys") }}
|
||||
from {{ ref("int_kpis__agg_monthly_completed_guest_journeys") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
),
|
||||
guest_journeys_with_payment as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_guest_journeys_with_payment") }}
|
||||
from {{ ref("int_kpis__agg_mtd_guest_journeys_with_payment") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_guest_journeys_with_payment") }}
|
||||
from {{ ref("int_kpis__agg_monthly_guest_journeys_with_payment") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
|
|
@ -114,13 +114,13 @@ with
|
|||
int_mtd_deal_metrics as (select * from {{ ref("int_mtd_deal_metrics") }}),
|
||||
guest_payments as (
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_mtd_guest_payments") }}
|
||||
from {{ ref("int_kpis__agg_mtd_guest_payments") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
union all
|
||||
select *
|
||||
from {{ ref("int_kpis__aggregated_monthly_guest_payments") }}
|
||||
from {{ ref("int_kpis__agg_monthly_guest_payments") }}
|
||||
where
|
||||
dimension in ('global', 'by_number_of_listings', 'by_billing_country')
|
||||
and dimension_value <> 'UNSET'
|
||||
|
|
|
|||
|
|
@ -445,7 +445,7 @@ models:
|
|||
Count of accumulated bookings created in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_created_bookings
|
||||
- name: int_kpis__agg_monthly_created_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Created Bookings.
|
||||
|
|
@ -499,7 +499,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly created bookings for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_created_bookings
|
||||
- name: int_kpis__agg_mtd_created_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Created Bookings.
|
||||
|
|
@ -749,7 +749,7 @@ models:
|
|||
Count of accumulated guest journeys created in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_created_guest_journeys
|
||||
- name: int_kpis__agg_monthly_created_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Created Guest Journeys.
|
||||
|
|
@ -802,7 +802,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthtly created guest journeys for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_created_guest_journeys
|
||||
- name: int_kpis__agg_mtd_created_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Created Guest Journeys.
|
||||
|
|
@ -1051,7 +1051,7 @@ models:
|
|||
Count of accumulated guest journeys started in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_started_guest_journeys
|
||||
- name: int_kpis__agg_monthly_started_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Started Guest Journeys.
|
||||
|
|
@ -1104,7 +1104,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly started guest journeys for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_started_guest_journeys
|
||||
- name: int_kpis__agg_mtd_started_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Started Guest Journeys.
|
||||
|
|
@ -1353,7 +1353,7 @@ models:
|
|||
Count of accumulated guest journeys completed in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_completed_guest_journeys
|
||||
- name: int_kpis__agg_monthly_completed_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Completed Guest Journeys.
|
||||
|
|
@ -1406,7 +1406,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly completed guest journeys for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_completed_guest_journeys
|
||||
- name: int_kpis__agg_mtd_completed_guest_journeys
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Completed Guest Journeys.
|
||||
|
|
@ -1655,7 +1655,7 @@ models:
|
|||
Count of accumulated guest journeys completed in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_guest_journeys_with_payment
|
||||
- name: int_kpis__agg_monthly_guest_journeys_with_payment
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Guest Journeys with Payment.
|
||||
|
|
@ -1708,7 +1708,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly guest journeys with payment for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_guest_journeys_with_payment
|
||||
- name: int_kpis__agg_mtd_guest_journeys_with_payment
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Guest Journeys with Payment.
|
||||
|
|
@ -2012,7 +2012,7 @@ models:
|
|||
Sum of accumulated total payments paid by guests, without taxes,
|
||||
in GBP in a given month up to the given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_guest_payments
|
||||
- name: int_kpis__agg_monthly_guest_payments
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Guest Payments.
|
||||
|
|
@ -2091,7 +2091,7 @@ models:
|
|||
The monthly total payments paid by guests, without taxes, in GBP
|
||||
for a given range date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_guest_payments
|
||||
- name: int_kpis__agg_mtd_guest_payments
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Guest Payments.
|
||||
|
|
@ -2366,7 +2366,7 @@ models:
|
|||
Count of accumulated bookings checked-out in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_check_out_bookings
|
||||
- name: int_kpis__agg_monthly_check_out_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Check-out Bookings.
|
||||
|
|
@ -2419,7 +2419,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly checked-out bookings for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_check_out_bookings
|
||||
- name: int_kpis__agg_mtd_check_out_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Check-out Bookings.
|
||||
|
|
@ -2668,7 +2668,7 @@ models:
|
|||
Count of accumulated bookings billable in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_billable_bookings
|
||||
- name: int_kpis__agg_monthly_billable_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Billable Bookings.
|
||||
|
|
@ -2721,7 +2721,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly billable bookings for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_billable_bookings
|
||||
- name: int_kpis__agg_mtd_billable_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Billable Bookings.
|
||||
|
|
@ -2970,7 +2970,7 @@ models:
|
|||
Count of accumulated bookings cancelled in a given month up to the
|
||||
given date and per specified dimension.
|
||||
|
||||
- name: int_kpis__aggregated_monthly_cancelled_bookings
|
||||
- name: int_kpis__agg_monthly_cancelled_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Monthly Cancelled Bookings.
|
||||
|
|
@ -3023,7 +3023,7 @@ models:
|
|||
data_type: bigint
|
||||
description: The monthly cancelled bookings for a given date, dimension and value.
|
||||
|
||||
- name: int_kpis__aggregated_mtd_cancelled_bookings
|
||||
- name: int_kpis__agg_mtd_cancelled_bookings
|
||||
description: |
|
||||
This model computes the dimension aggregation for
|
||||
Month-To-Date Cancelled Bookings.
|
||||
|
|
|
|||
|
|
@ -113,8 +113,8 @@ exposures:
|
|||
Additionally, it allows to retrieve similar KPIs at Deal level.
|
||||
|
||||
depends_on:
|
||||
- ref('mtd_aggregated_metrics')
|
||||
- ref('monthly_aggregated_metrics_history_by_deal')
|
||||
- ref('mtd_agg_metrics')
|
||||
- ref('monthly_agg_metrics_history_by_deal')
|
||||
|
||||
owner:
|
||||
name: Oriol Roqué
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
with
|
||||
int_monthly_aggregated_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_aggregated_metrics_history_by_deal") }}
|
||||
int_monthly_agg_metrics_history_by_deal as (
|
||||
select * from {{ ref("int_monthly_agg_metrics_history_by_deal") }}
|
||||
)
|
||||
|
||||
select
|
||||
|
|
@ -113,4 +113,4 @@ select
|
|||
deposit_fees_in_gbp as deposit_fees_in_gbp,
|
||||
waiver_payments_in_gbp as waiver_payments_in_gbp,
|
||||
checkin_cover_fees_in_gbp as checkin_cover_fees_in_gbp
|
||||
from int_monthly_aggregated_metrics_history_by_deal
|
||||
from int_monthly_agg_metrics_history_by_deal
|
||||
|
|
@ -11,9 +11,9 @@ with
|
|||
{% endif %}
|
||||
{% endfor %}
|
||||
),
|
||||
int_mtd_aggregated_metrics as (
|
||||
int_mtd_agg_metrics as (
|
||||
select m.*, d.dimension_display
|
||||
from {{ ref("int_mtd_aggregated_metrics") }} m
|
||||
from {{ ref("int_mtd_agg_metrics") }} m
|
||||
-- The following clause limits the display execution
|
||||
-- to only include those dimensions configured to
|
||||
-- appear for production purposes
|
||||
|
|
@ -38,7 +38,7 @@ select
|
|||
previous_year_value as previous_year_value,
|
||||
relative_increment as relative_increment,
|
||||
relative_increment_with_sign_format as relative_increment_with_sign_format
|
||||
from int_mtd_aggregated_metrics
|
||||
from int_mtd_agg_metrics
|
||||
/*
|
||||
The following where condition is applied to avoid displaying revenue metrics
|
||||
in the MTD for the current month and the previous month. The main reason is
|
||||
|
|
@ -307,7 +307,7 @@ models:
|
|||
tests:
|
||||
- not_null
|
||||
|
||||
- name: mtd_aggregated_metrics
|
||||
- name: mtd_agg_metrics
|
||||
description: |
|
||||
This model aggregates the historic information of our business by providing
|
||||
different metrics computed at global and dimension level.
|
||||
|
|
@ -447,19 +447,19 @@ models:
|
|||
positive impact for Superhog, otherwise is equal to relative_increment.
|
||||
This value is specially created for formatting in PBI
|
||||
|
||||
- name: monthly_aggregated_metrics_history_by_deal
|
||||
- name: monthly_agg_metrics_history_by_deal
|
||||
description: |
|
||||
This model aggregates the monthly historic information regarding the different metrics computed
|
||||
at deal level. The primary source of data is the `int_monthly_XXXXX_history_by_deal`
|
||||
model which contain the raw metrics data per source.
|
||||
|
||||
This table is used to provide "By Deal" metrics in the Business Overview reporting.
|
||||
Unlike the mtd_aggregated_metrics, this model does not abstract each metric, since
|
||||
Unlike the mtd_agg_metrics, this model does not abstract each metric, since
|
||||
no comparison versus last year is performed. In short, it just gathers the information stored
|
||||
in the abovementioned models.
|
||||
|
||||
To keep in mind: aggregating the information of this model will not necessarily result into
|
||||
the int_mtd_aggregated metrics because 1) the mtd version contains more computing dates
|
||||
the int_mtd_agg_metrics because 1) the mtd version contains more computing dates
|
||||
than the by deal version, the latest being a subset of the first, and 2) the deal based model
|
||||
enforces that a booking/guest journey/listing/etc has a host with a deal assigned, which is
|
||||
not necessarily the case.
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue