ISBN 0-89006-883-6 Thomas C. Redman 320 pages. Copyright 1996. Description
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Data Quality For The Information Age covers all 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 and sustain improvements, and the life-cycle and dimensions of data quality. It includes case studies, summaries of main points, roles and responsibilities for each individual, and summaries of good design practices. Several groups can benefit immeasurably from this work:
Why Care About Data Quality? Strategies for Improving Data Quality. Data Quality Policy. Starting and Nurturing a Data Quality Program. Process Management. Process Representation and the Functions of Information Processing Approach. Data Quality Requirements. Statistical Quality Control. Measurement Systems, Data Tracking, and Process Improvement. Just What is (or are) Data? Dimensions of Data Quality. Data Quality and Re-Engineering at AT&T. Data Quality Across the Corporation -- Telstra's Experience. Summary -- Roles and Responsibilities. Glossary. Index. Related Titles
Multimedia Database Management Systems ; Guojun Lu Advanced ANSI SQL Data Modeling and Structure Processing Systems ; Michael M. David Data Warehousing and Data Mining for Telecommunications ; Rob Mattison Data Modeling and Design for Today's Architectures ; Angelo R. Bobak
ISBN 0-89006-883-6 