I was recently talking with a group of data architects on how to review a data model using the Data Model Scorecard®. The Scorecard contains ten 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 which would 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 a good Data Model Scorecard® score. Yet this model was never used or not used properly and therefore the modeler should be penalized through this eleventh category. Do you agree? Should the data modeler be held responsible if their model was not used (or not used properly)? If yes, why? If no, who should be responsible?