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Information quality

Author: Y Richard Wang; Elizabeth M Pierce; Stuart E Madnik; Craig W Fisher; Vladimir Zwass
Publisher: Armonk, N.Y. ; London, England : M.E. Sharpe, ©2005.
Series: Advances in management information systems, v. 1.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Information quality.
Armonk, N.Y. ; London, England : M.E. Sharpe, ©2005
(OCoLC)60564423
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Y Richard Wang; Elizabeth M Pierce; Stuart E Madnik; Craig W Fisher; Vladimir Zwass
ISBN: 9780765620132 0765620138 0765611333 9780765611338
OCLC Number: 180898146
Notes: Information about forthcoming volumes of AMIS series can be found on the series homepage: http://www.mesharpe.com/amis.htm.
Series editor: Vladimir Zwass.
Description: 1 online resource (x, 265 pages) : illustrations.
Contents: Measuring data accuracy : a framework and review / Thomas C. Redman --
Developing measurement scales for data-quality dimensions / Leo Pipino [and others] --
A cyclic-hierarchichal method for database data-quality evaluation and improvement / Jennifer A. Long and Craig E. Seko --
Model-based data-quality evaluation : a comparison of Internet classifieds operated by newspapers and nonnewspaper firms / Adenekan Dedeke and Beverly K. Kahn --
Building quality into information supply chains : robust information supply chains / Adenekan Dedeke --
What's in your information product inventory? / Elizabeth M. Pierce --
IP-UML : a methodology for quality improvement based on information product maps and unified modeling language / Monica Scannapieco, Barbara Pernici, and Elizabeth M. Pierce --
Introducing data-quality management in data warehousing / Markus Helfert and Clemens Herrman --
Improving government-to-business relationships through data reconciliation and process reengineering / Marco Bertoletti [and others] --
Understanding interdependencies between information and organizational processes / Raïssa Katz-Haas and Yang W. Lee --
Exemplifying business opportunities for improving data quality from corporate household research / Stuart Madnick [and others] --
Criticality of factors affecting data quality of accounting information systems : how perceptions of importance and performance can differ / Hongjiang Xu and Latif Al-Hakim --
Teaching, learning, and curriculum development to support managing information as a product / Diane M. Strong [and others] --
Redefining the scope and focus of information-quality work : a general systems theory perspective / WooYoung Chung, Craig Fisher, and Richard Wang.
Series Title: Advances in management information systems, v. 1.
Responsibility: editors, Richard Y. Wang [and others].

Abstract:

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  Read more...

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