Information Quality

Herausgeber: Wang, Richard; Madnick, Stuart; Pierce, Elizabeth M

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 278
• Erscheinungstermin: 31. Januar 2005
• Englisch
• Abmessung: 261mm x 186mm x 24mm
• Gewicht: 739g
• ISBN-13: 9780765611338
• ISBN-10: 0765611333
• Artikelnr.: 21162406

Autorenporträt

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

Inhaltsangabe

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;