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Informationen zum Autor Stuart Madnick, Richard Wang, Elizabeth M. Pierce, Craig Fisher Klappentext Organizations today have access to vast stores of data that come in a wide variety of forms and may be stored in places ranging from file cabinets to database, and from library shelves to the Internet. The enormous growth in the "quantity of data, however, has brought with it growing problems with the "quality of information, further complicated by the struggles many organizations manage information properly, or inaccurate data, costs businesses billions of dollars each year. This volume presents cutting-edge research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with the problem of ensuring quality while processing data into information a company can use. Part III presents case studies, while Part IV explores organizational issues related to information quality. Part V addresses issues in information quality education. Zusammenfassung This volume presents research on information quality. Part I seeks to understand how data can be measured and evaluated for quality. Part II deals with ensuring quality while processing data into usable information. Part III presents case studies, and Part IV explores organizational issues. Part V addresses issues in information quality education. Inhaltsverzeichnis Chapter 1 Introduction, Elizabeth M. Pierce; Part I Measuring Data Quality; Chapter 2 Measuring Data Accuracy, Thomas C. Redman; Chapter 3 Developing Measurement Scales for Data-Quality Dimensions, Leo Pipino, Richard Wang, David Kopcso, William Rybolt; Chapter 4 A Cyclic-Hierarchical Method for Database Data-Quality Evaluation and Improvement, Jennifer A. Long, Craig E. Seko; Chapter 5 Model-Based Data-Quality Evaluation, Adenekan Dedeke, Beverly K. Kahn; Part II Modeling and Developing Information Processes for Information Quality; Chapter 6 Building Quality into Information Supply Chains, Adenekan Dedeke; Chapter 7 What's in your Information Product Inventory?, Elizabeth M. Pierce; Chapter 8 IP-UML, Monica Scannapieco, Barbara Pernici, Elizabeth Pierce; Part III Data- and Information-Quality Improvement: Case Studies; Chapter 9 Introductionducing Data-Quality Management in Data Warehousing, Markus Helfert, Clemens Herrmann; Chapter 10 Improving Government-to-Business Relationships through Data Reconciliation and Process Reengineering, Marco Bertoletti, Paolo Missier, Monica Scannapieco, Pietro Aimetti, Carlo Batini; Chapter 11 Understanding Interdependencies between Information and Organizational Processes, Raïssa Katz-Haas, Yang W. Lee; Part IV Organizational Issues in Information Quality; Chapter 12 Exemplifying Business Opportunities for Improving Data Quality from Corporate Household Research, Stuart Madnick, Richard Wang, Krishna Chettayar, Frank Dravis, James Funk, Raïssa Katz-Haas, Cindy Lee, Yang W. Lee, Xiang Xian, Sumit Bhansali; Chapter 13 Criticality of Factors Affecting Data Quality of Accounting Information Systems, Hongjiang Xu, Latif Al-Hakim; partV Education and Capability Building in Information Quality; Chapter 14 Teaching, Learning, and Curriculum Development to Support Managing Information as a Product, Diane M. Strong, Craig Fisher, David L. Feinstein, Herbert E. LongeneckerJr; Chapter 15 Redefining the Scope and Focus of Information-Quality Work, WooYoung Chung, Craig Fisher, Richard Wang;...
