Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM)
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author danette mcgilvray format paperback language english publication year 29 08 2008 subject computing it subject 2 computing professional programming goddings limited presents executing data quality projects ten steps to quality data and trusted information tm isbn 0123743699 author danette mcgilvray publisher morgan kaufmann date 2008 07 25 seller sku gard 0123743695 qty available 1 format paperback condition new notes brand new book will ship 1 st class to the uk or airmail worldwide airmai
Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions.
In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents a systematic, proven approach to improving and creating data and information quality within the enterprise. She describes a methodology that combines a conceptual framework for understanding information quality with Executing Data Quality Projects new edition
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Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM): Danette Mcgilvray
Powered by Frooition Pro Click here to view full size. Full Size Image Click to close full size. Executing Data Quality Projects - Book NEW Author(s): Danette Mcgilvray Format: Paperback # Pages: 325 ISBN-13: 9780123743695 Published: 07/11/2008 Language: English Weight: 2.48 pounds Introduces a systematic, effective approach to enhancing and creating data and information quality that integrates a conceptual framework with essential tools, techniques, and instructions, accompanied by helpful tem
Executing Data Quality Projects
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Executing Data Quality Projects Textbook
Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions
She describes a methodology that combines a conceptual framework for understanding information quality with
