Measure Master Data Quality by Dimension
Classify master-data issues by quality dimension so the right control can be chosen.
Five dimensions that change the fix Completeness defects need required-field design or enrichment ownership. Validity defects need rule checks and allowed values. Uniqueness defects need identity evidence and merge policy. Consistency defects need source-of-truth decisions and integration checks. Timeliness defects need event triggers, SLA monitoring, or feed repair. Why this works A defect dimension is a bridge between a symptom and a control. It prevents the classic MDM meeting where every problem is called bad data and every answer is a cleanup project. Once the dimension is named, the team can measure baseline, choose the prevention point, and monitor recurrence.
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