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One customer should show five hundred dollars in orders and my query says fifteen hundred, and the raw data is right.
What you'll have at the end
A revenue-by-customer query whose total matches the order table's own numbers exactly, with a pre-aggregated item count riding along safely, and the row math for both the wrong total and the fix written down.
You need
A fact table joined to a finer detail table through a shared order key, plus a way to run SQL against both tables and compare row counts on each side.
Not covered
The chasm trap, where two separate one-to-many tables both join back to one shared table instead of chaining through each other.
Fix a warehouse total that's doubled
when the doubled total traces back to a dimension carrying more than one row per key, such as an un-dated history table, not to a header-and-detail join.
Untangle a many-to-many relationship with a bridge table
when one fact row genuinely carries more than one value at once, rather than a detail table that's just a finer grain of the same fact.
Checked 25 Aug 2026
Part of the Kimball Data Modeling cookbook