Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (Tm) - Danette McGilvray
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Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality wi ... Full description
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Description
Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and suppliers, and the inability to make sound decisions. Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations.
More Information
| Author | Danette McGilvray |
|---|---|
| Publisher | Elsevier Science |
| Release year | 2008 |
| Cover type | Softcover |
| EAN | 9780123743695 |