# Description Creates a new model in intermediate/kpis called `int_kpis__agg_monthly_churn_contribution`. This follows the convention (aggregated = by dimension and dimension value) and monthly (1 dimension value per dimension per date where date is unique in month). This single model aims to substitute, in the future, the 2 churn models simultaneously: * `int_monthly_12m_window_contribution_by_deal` * `int_monthly_churn_metrics` Main changes: * There's no longer a dependency with `int_monthly_aggregated_metrics_history_by_deal`. Rather, it gets the metrics and dimensions from wherever needed and nothing else. * I also took the opportunity to clean any code that was not needed after combining both models, resulting in dropping a whole CTE. * Updated schema description for clarification purposes. The output of the new model is identical to the 2nd model, `int_monthly_churn_metrics`, confirmed with the md5 trick. Model runs in 1.45 seconds in my laptop so no performance issue (it's technically faster than running the 2 current models which is around 6.3 seconds but whatever). Note that this has NO effect yet on production. The switch will be handled 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: #28948 |
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| hubspot | ||
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| xero | ||