# Description
Booking fees is widely used with different meanings, for old dash, for new dash, for both, etc. This is painful. First step to align on a proper naming is ensure that what we report in Main KPIs is clearly stated, which in this case, Booking Fees are now called Old Dashboard Booking Fees.
Changes:
* Modify `stg_seed__accounting_aggregations` seed to rename Booking Fees to Old Dashboard Booking Fees. This is for us to clarify. This is only applied for KPIs compute. I also added an empty space that I mistakenly forgot in the past for `financial_l3_aggregation`.
* Modify KPIs source, i.e., `int_kpis__metric_daily_invoiced_revenue`. Here I forcefully modify the name of the field to `xero_old_dashboard_booking_net_fees_in_gbp`.
* Propagate changes of downstream usages of `xero_booking_net_fees_in_gbp` to `xero_old_dashboard_booking_net_fees_in_gbp`. This affects all models, including the reporting model. On this one we still have both names to avoid breaking it. I will need to modify the data glossary in PBI anyway so I'll do this change as well.
* Modify displayed metric name from Booking Fees Revenue to Old Dashboard Booking Fees Revenue.
* Modify schema so it reflects the proper names, descriptions, and tests.
* Ensure outlier and completion tests still work after this change.
I confirm the field `xero_booking_net_fees_in_gbp` does not exist anymore in the rest of DWH after these changes, except for the abovementioned comment on the reporting line.
# 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: #28560
# Description
Propagates Client Type to KPIs by Deal and AM models. This is just a distinction between Platform and APIs.
# 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: #28181
# Description
Adds number format for display purposes
# 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.
Adds number format
Related work items: #27609
# Description
Changes:
* Adds Onboarding MRR
* Refactors exclusion code for ongoing month / invoicing cycle
* Adds sign format on relative differences
# 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: #27609, #27805
# Description
_Describe your motivation and changes here._
# Checklist
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] 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.
Revert "Adds Onboarding MRR"
Reverted commit `dab210c6`.
# Description
_Describe your motivation and changes here._
# Checklist
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] 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.
Revert "Refactor display exclusion for clarity purposes"
Reverted commit `fdec616f`.
# Description
_Describe your motivation and changes here._
# Checklist
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] 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.
Revert "Relative increments with sign"
Reverted commit `f5718ded`.
# Description
Changes:
* Adds Revenue Churn Rate in YTD/MTD Overview. This has several implications, I finally understood how to properly compute a YTD.
The problem is that Revenue Churn Rate is a % of the Total "Churned" Revenue in a 12 m period vs. the Total Revenue in the same 12 m period. This is a bit tricky because it's not really additive, because of the Churn definition. Total Churned Revenue is the Revenue that the churned deals in a month generated on that past 12 months prior to churning.
So - in order to aggregate it properly, we need to do the sum of the Total Churned Revenue and retrieve the Total Revenue on these 12 months, and THEN compute the Churn rate.
This PR mainly retrieves the necessary input from the Churn models and then follows a similar computation as for the rest of YTD/MTD converted metrics.
I'll handle Onboarding MRR in a separated PR as this one is quite dense already.
# 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: #27609, #27805
# Description
Removed `id_accommodation` from athena models
I remembered why I had add it before, it was to unite it with the edeposit model with the same number of fields but I fixed it already
# 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.
Update athena models to remove id_accommodation
Related work items: #27938
# Description
Reduce metric name length to fit in PBI
# 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.
Reduce metric name length to fit in PBI
Related work items: #27609
# Description
Changes:
* Adds template for targets -> These need to be revised
* Adds comparison of values vs. targets
* Allows for multi-year last date computation (allowing multiple years to be selected, not just the last one)
# 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: #27609, #27805
# Description
Adapts YTD/MTD for visualisation purposes
# 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.
Visualisation changes
Related work items: #27609
# Description
First version of the model int_ytd_mtd_aggregated_main_metrics_overview
It aggregates data at the level of:
* Date
* Dimension
* Dimension Value
* Metric Name (or Id Metric)
This computes differences and relative differences in:
* current MTD vs previous month EOM
* current MTD vs previous year MTD
* current year YTD vs previous year YTD
This is applied to 13 metrics, namely:
* Total Revenue
* Revenue Retained Post-Resolutions
* Guest Revenue
* Invoiced Operator Revenue
* Invoiced APIs Revenue
* Billable Bookings
* Live Deals
* New Deals
* Churning Deals
* Damage Waiver Payout Rate
* Host Resolutions Payout Rate
* Invoiced Operator Revenue per Billable Booking
* Waiver Revenue per Billable Booking
This still does not handle:
* Comparison vs. targets (to be done later, need input)
* Missing metrics on Onboarding MRR / Revenue Churn (to be done later)
* Invoicing dependant data exclusion (to be done in reporting)
# 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. **At the moment I keep everything as views and seems ok. We'll see if this needs to be materialised as tables later on**
# Other
- [ ] Check if a full-refresh is required after this PR is merged.
Related work items: #27609
# Description
New model for the purpose of Main KPIs - Overview.
It computes:
* Current MTD value
* Previous Month EOM value
* Previous Year MTD value (12 months ago)
* Current YTD value
* Previous Year YTD value
for the metrics:
* Total Revenue
* Revenue Retained Post-Resolutions
* Guest Revenue
* Invoiced Operator Revenue
* Invoiced APIs Revenue
* Host Resolutions Amount Paid
* Damage Host Waiver Payments
* Billable Bookings
* New Deals
* Churning Deals
* Live Deals (dedicated logic handling)
* Waiver Revenue
Additionally it properly computes the following derived metrics:
* Waiver Payout Rate
* Resolutions Payout Rate
* Operator Revenue per Billable Booking
* Waiver Revenue per Billable Booking
Only for dimension = 'global', though should be easy to extend to other dimensions.
This does not handle (yet) Onboarding MRR nor Revenue Churn Rate, mostly because I need to think how this can be properly attributed in a YTD basis.
This does not compute variations (abs. diff. or rel. diff.) yet.
This does not handle the "hiding" of invoicing metrics due to the invoicing cycle yet.
This does not handle targets... yet!
# 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: #27609
# Description
Changes:
* On Est. Billable Bookings, keeps previous logic for Old Dash while assuming the first billable service for New Dash
* Adds a Billable Check Out Bookings in Check Out bookings, as defined in the requirements.
# 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: #27619
# Description
Adds new metric - live deals
# 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: #27712
# Description
Changes:
* Fixes listings by properly considering the equal or higher sign. I'm very dumb
* Fixes exclusion of new dash billable bookings by properly applying in both monthly and mtd. I'm very dumb x2
# 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:
* Adapt business_kpis_configuration to include By Business Scope as production dimension.
* Sets in int_mtd_metrics_vs_previous_year the selection of business scope dimension for all KPIs models. This does not affect cross kpis models (churn/mrr). I might need to check later how to adapt Churn to include this dimension, but it's not considered as for this PR. Lastly, Billable Bookings excludes New Dash.
* Adapts condition in int_mtd_metrics_vs_previous_year so MTD values would appear independently of these appearing in the previous year. This is, the model was considering that to show current month MTD values, the dimension needed to exist the year prior. This does not happen with New Dash and I assume we never noticed because in any case, most of our dimensions have quite a long history.
* Adapts int_kpis__agg_dates_main_kpis to include the business scope dimension. By the way it's actually handled, it kind of assumes that a Deal can only be in New or Old Dash (this is correct), but while on New Dash, this deal won't have data for Old Dash (this might not be 100% correct). In any case, the global figure should be ok, and only on the deal + business scope dimensionality this could cause some potential problems. However, this is not being reported anyway at the moment.
* Adapts int_kpis__agg_dates_main_kpis to have a proper variable value for the dimensions, and this is further included in business_kpis_configuration as any other model.
Small changes:
* Adapts Churn metrics to read from dimension_deals rather than core__deals. This should be more accurate anyway.
# Checklist
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] 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.
Propagates New Dash/Old Dash/APIs split in KPIs as per Business Scope
Related work items: #27356
# Description
Main changes:
* Remove Cancelled Bookings previous logic.
* Speeds up Main KPIs by adding a couple of indexes in `mtd_aggregated_metrics`. Tested in prod, to me it looks like it's quite fast now.
# 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
Exposes new metrics:
* Created Bookings (Excl. Cancelled)
* Cancelled Created Bookings
* Check Out Bookings (Excl. Cancelled)
* Cancelled Check Out Bookings
Re-naming of existing metrics:
* Created Bookings -> Total Created Bookings
* Checkout Bookings -> Total Check Out Bookings
Removes exposure of previous Cancelled Bookings. In the monthly by deal model, it's hardcoded still - need to change PBI to remove safely. This will be done later on once we remove the Cancelled Bookings models.
Adapts the existing tests on KPIs to accommodate for the changes by including new metrics. Also, I've set the detector to 5 (from 8) since it's been a while this has not triggered thus might be worth the effort to have more detection capabilities.
# 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
