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Knowledge Base & Operational DocumentationWhy Do Data Quality Checks Pass While Reports Still Look Wrong?
Automated checks can pass while a business report remains misleading if the checks validate technical completeness but not meaning. A dataset may contain every expected row and still use the wrong status mapping, join, unit, or business definition.
What to check
Compare the report question with its metric definition, transformation logic, source fields, and validation rules. Trace example records end to end and ask a business owner to confirm whether the result matches the intended decision.
Recommended next step
Add semantic checks for key relationships and business rules alongside technical checks. Keep ownership of definitions clear and show users the data freshness and known limitations.
How Informatix Systems can help
Informatix Systems provides data engineering and analytics services. We can assess the affected systems, clarify likely causes, and help plan a practical fix. Contact us with the platform involved, when the issue began, and non-sensitive error details.