Article: Seven misconceptions about data quality.(STORAGE)

The narrow definition of data quality is that concerns bad data ie: data that is missing or incorrect. A broader definition is that data quality is achieved when a business uses data that is comprehensive, consistent, relevant and timely. If you focus only on the narrow data definition you may be lulled into a sense of false security when, in fact, your efforts fall short. We will address several more misconceptions about data quality. In order to fix a problem you have to recognize you have a problem. According to recent Gartner research, 25 percent of Fortune 1000 companies are working with poor quality data.

The Data Warehousing Institute TDWI estimated that ...

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