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Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)

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Executing Data Quality Projects is a terrific step by step guide to assist in the analysis of Data Quality Issues. It gives teams a logical and clearly defined set of steps to help guide them through an approach for improving and creating data quality within any business. The techniques in this book are also compatible with other well know methodologies such as Six Sigma and DMAC, which makes it easy to explain and train individuals on. The book also provides some good real world templates that can be utilized through-out the data quality analysis process.

Author(s): Danette McGilvray
Publisher: Morgan Kaufmann
Year: 2008

Language: English
Pages: 332

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