Information Quality (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
280
Utgivningsdatum
2016-04-21
Förlag
Routledge
Medarbetare
Zwass, Vladimir (series ed.)
Illustrationer
Black & white illustrations
Dimensioner
246 x 189 x 15 mm
Vikt
504 g
Antal komponenter
1
Komponenter
50:B&W 7.44 x 9.69 in or 246 x 189 mm (Crown 4vo) Perfect Bound on White w/Gloss Lam
ISBN
9781138679788

Information Quality

av Richard Wang, Elizabeth M Pierce, Stuart Madnick, Craig Fisher
Häftad,  Engelska, 2016-04-21
818
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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 databases, 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 are experiencing as they try to improve their systems for knowledge management and organizational memory. Failure to 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 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.
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Övrig information

Stuart Madnick, Richard Wang, Elizabeth M. Pierce, Craig Fisher

Innehållsförteckning

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 Whats 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, Rassa 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, Rassa 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;

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