Publications

DM Review Magazine, November 2006 Issue, By Donald Farmer

Classifying Data Quality

Data quality as a term can be difficult to pin down, though we all have a pretty good idea of what we mean when we use the phrase. Let's start with a simple premise: there is no absolute standard that constitutes quality data. Rather, the quality of data is simply a measure of its fitness for purpose and can vary widely, depending on the purpose at hand.

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With no absolute standard of data quality, there have been several approaches taken to defining the problem space. Most successful has been the work of Richard Wang and others in identifying data quality dimensions.

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