Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework (The Morgan Kaufmann Series on Business Intelligence) - Softcover

Sebastian-Coleman, Laura

Softcover

ISBN 10: 0123970334 ISBN 13: 9780123970336

Publisher: Morgan Kaufmann, 2013

Synopsis

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of...

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About this title

About the Author

Laura Sebastian-Coleman, Data Quality Lead at Aetna/CVS Heath, has worked on data quality in large health care data warehouses since 2003. Laura has implemented data quality metrics and reporting, launched and facilitated working stewardship groups, contributed to data consumer training programs, and led efforts to establish data standards and manage metadata. In 2009, she led a group of analysts in developing the Data Quality Assessment Framework (DQAF)...

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Review

"This book provides a very well-structured introduction to the fundamental issue of data quality, making it a very useful tool for managers, practitioners, analysts, software developers, and systems engineers. It also helps explain what data quality management entails and provides practical approaches aimed at actual implementation. I positively recommend reading it..." --ComputingReviews.com, January 2014

"The framework she describes is a set of 48 generic measurement types based on five...

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Edition details

• Publisher: Morgan Kaufmann
• Publication date: 2013
• ISBN 10: 0123970334
• ISBN 13: 9780123970336
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 376