| Information Quality Contributor(s): Wang, Richard (Editor), Pierce, Elizabeth M. (Editor), Madnick, Stuart (Editor) |
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ISBN: 0765611333 ISBN-13: 9780765611338 Publisher: Routledge OUR PRICE: $247.00 Product Type: Hardcover - Other Formats Published: January 2005 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Business & Economics | Information Management - Computers | Management Information Systems - Business & Economics | Total Quality Management |
| Dewey: 658.403 |
| Series: Advances in Management Information Systems |
| Physical Information: 0.94" H x 7.32" W x 10.28" (1.63 lbs) 278 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |