Read Quality Through the Seven Dimensions
Use the core quality dimensions to classify a problem precisely.
Quality dimensions are diagnostic tools, not vocabulary trivia. Governance teams lose time when every issue is called “bad data.” A better move is to classify the first meaningful failure. Common dimensions Completeness asks whether required values exist. Validity asks whether they follow the rules. Uniqueness asks whether a record exists once. Consistency asks whether related systems agree. Timeliness asks whether the data is ready when needed. Accuracy asks whether the value reflects the agreed truth. Fitness for purpose asks whether the whole dataset is suitable for the decision at hand. Why misdiagnosis matters Different dimensions imply different controls, owners, and…
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