Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make

Models and their underlying metadata should be seen as corporate assets to be managed by a partnership of modelers and the business. If they are portrayed as just technical specifications that can be understood by developers and database administrators, they will not provide the benefits of an enterprise data architecture

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