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Deduplication can remove legitimate records if the matching key is too broad, or fail to remove duplicates if identifiers change. A lower row count is not automatically a better dataset.
Compare deduplication keys, ordering rules, null behavior, source identifiers, and before-and-after samples. Identify whether distinct events share a value that the rule treats as unique.
Use business-approved identity rules, retain an audit of removed records, and reconcile representative cases with data owners. Measure duplicate reduction and legitimate record loss separately.
Informatix Systems provides data engineering and analytics services. We can assess the affected workflow, trace the likely failure point, and help plan a practical resolution. Contact us with the system involved, when the issue began, and non-sensitive error details.
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