240d6ec59e
# Description There's misalignment in the different areas in the business, but even within our own report... **I'm not saying this is perfect** - but at least it forces a common Data Glossary within Main KPIs. I'd suggest later on reviewing naming - same as we need to do for revenue anyway -, but for the meantime, at least have consistency on our side. Changes: * Est. Billable Bookings -> Billable Bookings. We have other metrics stated as Estimated in the Data Glossary. * Waiver and Resolutions payments to host are now called Payouts. This is not perfect but at least is clear we're paying out, so it's a cost. * Host Resolutions Payment Rate is now explicitly mentioning how it's being computed to avoid confusion with the Payout Rate, that does not appear here yet, but appears in the YTD. Additional Changes: * Tests are also aligned with new names. * Re-order booking display, so Cancelled Bookings (inclusion and exclusion) are shown below. Having them the first is weird. # 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. - [ ] 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. Related work items: #28560
102 lines
3.5 KiB
SQL
102 lines
3.5 KiB
SQL
/*
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This test is applied in the reporting layer for Main KPIs,
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specifically on reporting.mtd_aggregated_metrics.
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It just ensures that for the last available date, the sum of metrics
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for any dimension provides an equal or lower aggregated value compared
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to what is expected at Global level, up to a certain threshold.
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This is because some dimensions depend on Deal, and not all users
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have a Deal, thus it's normal that the aggregation might not match the
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Global value on a given metric.
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However, the aggregation cannot be higher, with a certain tolerance,
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than the value reported in the Global dimension.
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*/
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{% set tolerance_threshold = 0.000001 %}
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{% set additive_metric_names = (
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"Bookings Churn Rate",
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"Cancelled Check Out Bookings",
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"Cancelled Created Bookings",
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"Check-In Hero Revenue",
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"Check Out Bookings (Excl. Cancelled)",
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"Churning Deals",
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"Churning Listings",
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"Created Bookings (Excl. Cancelled)",
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"Damage Waiver Payouts",
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"Deals Booked in 12 Months",
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"Deals Booked in 6 Months",
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"Deals Booked in Month",
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"Deposit Fees Revenue",
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"Billable Bookings",
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"First Time Booked Deals",
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"First Time Booked Listings",
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"Guest Journey Completed",
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"Guest Journey Created",
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"Guest Journey Started",
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"Guest Journey with Payment",
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"Guest Revenue",
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"Host Resolutions Payouts",
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"Host Resolutions Payment Count",
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"Invoiced APIs Revenue",
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"Invoiced Athena Revenue",
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"Invoiced Old Dashboard Booking Fees Revenue",
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"Invoiced Total Booking Fees Revenue",
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"Invoiced E-Deposit Revenue",
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"Invoiced Listing Fees Revenue",
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"Invoiced Operator Revenue",
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"Invoiced Verification Fees Revenue",
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"Listings Booked in 12 Months",
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"Listings Booked in 6 Months",
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"Listings Booked in Month",
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"New Deals",
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"New Listings",
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"Revenue Churn Rate",
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"Revenue Retained",
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"Revenue Retained Post-Resolutions",
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"Total Check Out Bookings",
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"Total Created Bookings",
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"Total Revenue",
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"Waiver Revenue",
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"Waiver Retained",
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) %}
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with
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dimensions_total_metric_values as (
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select date, dimension, metric, number_format, sum(value) as total_metric_value
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from {{ ref("mtd_aggregated_metrics") }}
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where
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date in (select max(date) from {{ ref("mtd_aggregated_metrics") }})
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and metric in {{ additive_metric_names }}
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group by date, dimension, metric, number_format
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),
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global_dimension_metric_values as (
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select date, dimension, metric, number_format, total_metric_value
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from dimensions_total_metric_values
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where dimension = 'Global'
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),
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other_dimension_metric_values as (
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select date, dimension, metric, number_format, total_metric_value
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from dimensions_total_metric_values
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where dimension != 'Global'
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),
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difference_computation as (
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select
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g.date,
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g.metric,
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o.dimension,
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g.number_format,
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abs(g.total_metric_value) as global_metric_value,
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abs(o.total_metric_value) as dimension_metric_value,
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abs(o.total_metric_value) - abs(g.total_metric_value) as abs_diff,
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abs(o.total_metric_value) / nullif(abs(g.total_metric_value), 0)
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- 1 as rel_diff
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from global_dimension_metric_values as g
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left join
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other_dimension_metric_values as o
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on g.date = o.date
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and g.metric = o.metric
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)
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select *
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from difference_computation
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where abs_diff > {{ tolerance_threshold }}
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