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Article: Seven misconceptions about data quality.(STORAGE)
- Article from:
- Software World
- Article date:
- November 1, 2004
- Author:
CopyrightCOPYRIGHT 2004 A.P. Publications Ltd. This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group. (Hide copyright information)
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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 ...