Which assets deserve migration, and which outputs are equivalent at business grain?
Source assets24profiled
Used in 90 days15observed
Migrate12accepted
Retire6bounded
Blocked3dependency
Row-count parity15coarse
Grain parity12strict
Synthetic example. Deterministic fictional records; not transformed, aggregated or disguised customer data. Values demonstrate the method, not achieved results.
How to read this scene. Datasets, jobs and dashboards form a dependency estate around the source warehouse.
Trivial baseline
Migrate every asset and accept equal row counts as parity.
Sensitivity
Expand the usage window and compare grain, values, nulls, categories and dependencies; seasonal assets may reverse retirement decisions.
Strongest counter-case
Cached or seasonal assets may look unused; a longer usage window reverses some retirement decisions.
Verdict
SURVIVES: 12 strict matches. DOWNGRADED: three row-count matches fail at grain or category.