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Information Quality (Paperback): Richard Wang, Elizabeth M. Pierce, Stuart Madnick, Craig Fisher Information Quality (Paperback)
Richard Wang, Elizabeth M. Pierce, Stuart Madnick, Craig Fisher; Series edited by Vladimir Zwass
R1,652 Discovery Miles 16 520 Ships in 12 - 17 working days

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.

Information Quality (Hardcover): Richard Wang, Elizabeth M. Pierce, Stuart Madnick, Craig Fisher Information Quality (Hardcover)
Richard Wang, Elizabeth M. Pierce, Stuart Madnick, Craig Fisher; Series edited by Vladimir Zwass
R5,284 Discovery Miles 52 840 Ships in 12 - 17 working days

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.

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