# Description
This PR does the following:
* Moves `core/int_core__booking_summary` to `cross/int_core__booking_summary`
* Renames the model `cross/int_core__booking_summary` to `cross/int_booking_summary`
* Same for schema entry. In the new schema, I just added in the description how to retrieve exclusively New Dash Bookings for usability purposes.
Then, it adapts any dependency on `int_core__booking_summary` to `int_booking_summary`
No additional changes - inclusion of Resolution Incidents data will come later in a different PR.
# 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.
- [X] 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: #30676
# Description
Changes:
* **Main change:** exclusion of KYG lite users of the segmentation of Business Scope. These are "freemium" users, kind of demo users, that shouldn't have any real impact in terms of revenue. These are in New Dash, but do not have a deal. The problem is that we don't want to consider them as New Dash, but the current condition was making them appear as Old Dash. This PR fixes this by handling the logic for backend related models. Note that Xero remains unaffected - this is based on Deal, and these users do not have Deal.
* Small data quality fix I noticed while debugging KYG lite cases. It's better to use the "is upgraded service" from the staging original tables rather than the one with the prices. If a user does not have a currency (which can be the case for KYG lite users), then the coalesce would tag any service as not upgraded, which is not true.
# 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.
- [X] 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: #27356
# Description
Changes:
* Switches dash_source to business_scope in all kpis models, schema and macro configuration.
# 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.
- [X] 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: #27356
# Description
Changes:
* On Created and Check Out Bookings daily models, the determination of New Dash bookings now uses `int_core__booking_summary`. This does not change the output, but will be more consistent for other KPIs.
* Adds the categorisation of `dash_source` in all daily metric models that depend on Verification Requests (Guest Journeys). This affects GJ Created, GJ Started, GJ Completed, GJ w. Payment and Guest Payments. Note that the next aggregations (monthly, mtd, agg_monthly, agg_mtd) are not created yet. This will be done in a separated PR.
# 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.
- [X] 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: #27356
# Description
First commit - should be an exact replica of the previous PR on Check-Out:
Adds Cancelled and Not Cancelled Created Bookings as absolute figures. Adds Cancellation Rate only for aggregated models.
I also added the removal of duplicate bookings. Otherwise the rates might be affected, and this should be cleaner anyway.
Second commit:
Small changes on the unique key description of the model for check-out, doesn't impact the model output.
# 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.
- [X] 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: #24637
# Description
Creates skeleton for new KPIs data flow for created_bookings metric. Details are accessible [here](https://www.notion.so/knowyourguest-superhog/KPIs-Refactor-Let-s-go-daily-2024-10-23-1280446ff9c980dc87a3dc7453e95f06?pvs=4#12a0446ff9c98085bf4dfc77f6fc22f7)
In essence:
* Models are created in intermediate in a kpis folder.
* Models have a daily segmentation. This includes `created_bookings` models, but also the daily lifecycle per listing and the segmentation. It also adds a `dimension_dates` model specific for KPIs. These have all the dimensions already in place and handle all the crazy logic.
* Other time aggregation models simply read from existing daily models which are much easier (`int_kpis__metric_mtd_created_bookings` and `int_kpis__metric_monthly_created_bookings`).
* Dimensionality aggregation can be easily added within a given timeframe (daily, mtd, monthly). For instance, I do it for mtd in the `int_kpis__aggregated_mtd_created_bookings` and for monthly in `int_kpis__aggregated_monthly_created_bookings`
* Macro configuration for dimensions: Allows to set any specific dimension for `aggregated` models. By default, the subset of global, by billing country, by number of listings and by deal apply - since these are needed for Main KPIs. I added an example with Dash Source, that currently does not exist and it's currently configured as only appearing for created bookings.
* Testing `aggregated` models completeness. A new macro called `assert_dimension_completeness` is available that ensures additive metrics are consistent vs. the global result, configurable at schema level.
* Testing refactor impact. I'm aware that changing the lifecycle model to daily impacts the volumes for listing segments. For the rest, I added a `tmp` test that checks that the dimension and dimension value per date exactly match comparing new vs. old computation.
Latest edits:
* Changed naming convention
* Split of MTD and Monthly. Now these are 2 different entities, as stated in `int_kpis__dimension_dates`.
* Added start_date and end_date for models that contemplate a range (mtd, monthly).
* Added a small readme entry in the kpis folders. Mostly it states nomenclature and some first conventions.
Dbt docs:
# 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. **Likely we'll be able to add macros for mtd and dim_agg models. We will see later on.**
- [ ] I've picked the right materialization for the affected models. **Models run ok except for the daily lifecycle of listings, which lasts several minutes in the first run. Model curr...
