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We flipped through this book and didn't notice any notes or underlines. The
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Description:
Today, companies capture and store tremendous amounts of information about every aspect of their business: their customers, partners, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality. An enormous collection of data is of little worth if it is unstructured, filled with inaccuracies, stored in impractical formats, or difficult or impossible to access. These are problems businesses recognize and are working feverishly to solve.
Enterprise Knowledge Management Clearly Explained presents an easily adaptable methodology for defining, measuring, and improving data quality. Author David Loshin begins by laying out an economic framework for understanding the value of data quality, then proceeds to outline rules for assessing and maintaining data quality, as well as specific approaches to consolidating enterprise knowledge. Written for both a managerial and a technical audience, this book will be indispensable to the growing number of companies committed to wresting every possible advantage from their vast stores of business information.
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