I was talking to a group of data architects about how to review a data model using the Data Model Scorecard. The Scorecard contains 10 categories that validate the strengths and areas for improvement in a data model concerning requirements, good design principles and standards. A senior data architect asked if there should be an eleventh category that could determine how well the data model was actually used.

For example, a data modeler builds a data model that meets the requirements and is structurally sound and therefore should receive good marks from the Data Model Scorecard. Yet in the end, the model is not used or not used properly, and therefore would be penalized through this eleventh category.

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