- Validation after transformation means checking data accuracy before it reaches reporting layer.
- I compare row counts between source extract and transformed output.
- I reconcile key metrics like total sales, orders, and customers with source system.
- Example: After cleaning invoices, daily revenue matched ERP finance report.
- I check for unexpected nulls in mandatory fields like Order ID.
- I verify joins didn’t create duplicates or drop records.
- Sometimes I keep a validation table showing mismatches for QA review.
- If differences appear, I backtrack transformation steps to find issue.
- Goal is ensuring business trusts the dashboard numbers.
What is validation after transformation?
Updated on February 11, 2026
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