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Data Model Scorecard: Applying the Industry Standard on Data Model Quality by Steve Hoberman

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Chapter 5 Category Two: Completeness How complete is the model?

The “Completeness” category checks two areas: completeness of requirements and completeness of metadata.

Completeness of requirements means that all of the requirements requested appear on the data model and nothing extra. “Nothing extra” means we catch structures added to the data model that were not mentioned in the requirements. There might have been structures added “for future use” to the data model, but if these structures were not explicitly asked for in the requirements, are they really needed? There is a very good chance these extras will become part of the ...

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