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DM Review, March, 2008 by Malcolm Chisholm

Definitions of items of data really matter, but there are a couple of ways to see the value in them. One is when we focus on an individual definition within the context of a project. From such a siloed perspective, there can be a temptation to simply accept whatever is “good enough,” especially if the project team has a good idea of what the data means and is not held up due to a lack of data definitions. The more important perspective is, of course, the enterprise level, where we will usually encounter a sea of data items requiring definitions. To the extent that whatever definitions exist have been harvested from projects, many of them are inadequate, and some downright misleading. If such definitions are relied on, they have a high probability for causing problems. Even if 85...

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