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

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Chapter 2 Importance of Data Model Quality

There are three important reasons why we need to get the data model right: Precision, Leverage, and Data Quality. Each of these will be discussed in this chapter.

Precision

The data model is a precise representation of an information landscape. Precision, with respect to data modeling, means that there is only a single way of reading every symbol and term on the model. If you and I are reading a relationship on a data model, for example, we each read it the exact same way. Precision saves us an incredible amount of effort because we do not have to invest time to come to agreement on what ...

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