Information Quality
Published on 31. January 2005
Book
Hardback
278 pages
978-0-7656-1133-8 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Illustrations
tables, figures, bibliography, index
Dimensions
Height: 260 mm
Width: 208 mm
Thickness: 20 mm
Weight
824 gr
ISBN-13
978-0-7656-1133-8 (9780765611338)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Richard Wang | Elizabeth M. Pierce | Stuart Madnick
Information Quality
Book
04/2016
1st Edition
Routledge
€83.80
Shipment within 10-20 days
Richard Wang | Elizabeth M. Pierce | Stuart Madnick
Information Quality
E-Book
12/2014
Routledge
€77.99
Available for download
Richard Wang | Elizabeth M. Pierce | Stuart Madnick
Information Quality
E-Book
12/2014
Routledge
€77.99
Available for download
Persons
Stuart Madnick, Richard Wang, Elizabeth M. Pierce, Craig Fisher
Content
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, Raissa 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, Raissa 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;