The Data Model Scorecard

The Scorecard contains 10 categories:

  1. How well does the model capture the requirements?
  2. How complete is the model?
  3. How structurally sound is the model?
  4. How well does the model leverage generic structures?
  5. How well does the model follow naming standards?
  6. How well has the model been arranged for readability?
  7. How good are the definitions?
  8. How well has real world context been incorporated into the model?
  9. How consistent is the model with the enterprise?
  10. How well does the metadata match the data?


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