This informative book goes beyond the technical aspects of data management to provide detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, methods used to make improvements, and the life-cycle of data quality. It concludes with case studies, summaries of main points, roles and responsibilities for each individual, and a helpful listing of "dos and don'ts".
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Redman is President of the Navesink Consulting Group, based in Rumson, New Jersey. Prior to forming Navesink in 1995, he led data work in AT&T's Chief Information Office, where he was responsible for defining and coordinating AT&T's data program. Prior to beginning to work on data quality in 1987, he worked at Bell Labs and Bell Communications Research on network performance. He holds a Ph.D. in Statistics from Florida State University. He holds one patent.
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
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