Information Quality

by Xiaohu Wang, Elizabeth M Pierce, and Stuart Madnick

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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.
  • ISBN10 132250931X
  • ISBN13 9781322509310
  • Publish Date 1 January 2014 (first published 31 January 2005)
  • Publish Status Active
  • Out of Print 11 March 2015
  • Publish Country US
  • Imprint Taylor and Francis
  • Format eBook
  • Pages 278
  • Language English