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DATA-CLEANING5 MIN READ

Validate a Cleaned Metric

Prove a cleaned metric still ties to known controls.

After cleaning refunds, the net revenue dashboard is $86,000 higher than Finance’s close file. The cleaning script passed, but the business control failed. Validation should include technical expectations and business reconciliation. Technical checks ask whether columns have valid types, ranges, and uniqueness. Business checks ask whether the cleaned output still ties to trusted totals, known counts, or control reports. Both are needed because a script can be technically correct and financially wrong. In practice, this is the difference between a cleanup that feels helpful and a cleanup that changes the business record without authority. The learner should see the mechanism:…

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