Why Does a Data Quality Report Pass Even When Key Records Are Missing?

A quality check can pass if it validates only rows that arrived, while an entire source or date range is missing. Completeness requires expected-volume and freshness checks.

What to check

Compare expected source feeds, row counts by period, arrival timestamps, partition coverage, and upstream job status. Check whether the quality report excludes failed partitions.

Recommended next step

Add completeness and freshness checks against expected sources, then reconcile missing records before analysis. Informatix Systems can improve analytics and data quality.