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: Executing Data Quality Projects: Ten Steps to ~ Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) presents a systematic, proven approach to improving and creating data and information quality within the enterprise. 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 .
Executing Data Quality Projects - Elsevier ~ Executing data quality projects : ten steps to quality data and trusted information / Danette McGilvray. p. cm. Includes bibliographical references and index. ISBN 978-0-12-374369-5 (alk. paper) 1. Information technology—Management. 2. Electronic data processing—Quality control. I. Title. HD30.2.M397 2008 658.4’04—dc22 2008013824
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Executing data quality projects : ten steps to quality ~ Get this from a library! Executing data quality projects : ten steps to quality data and trusted information. [Danette McGilvray] -- Data quality problems cost businesses billions of dollars each year in unnecessary printing, postage, and staffing costs, in the steady erosion of an organization's credibility among customers and .
Ten Steps - Data Quality Book - Granite Falls ~ Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Informationâ„¢, provides a systematic approach for improving and creating data and information quality within any organization. This is not just a book. It is a "How To" manual. Danette's book fills a real gap in the Data Quality literature.
Executing Data Quality Projects / Guide books ~ Information is currency. 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.
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Executing Data Quality Projects - 1st Edition ~ Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) presents a systematic, proven approach to improving and creating data and information quality within the enterprise. 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 .
Ten Steps to Quality Data and Trusted Informationâ„¢ ~ Fortune 500 organizations. She is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information(tm) (Morgan Kaufmann, 2008). Her background as a program and project manager, working with people in all levels and functional areas of the organization, gives her a perspective of information quality challenges
Executing Data Quality Projects: Ten Steps to Quality Data ~ Executing Data Quality Projects presents a systematic, proven approach to improving and creating data and information quality within the enterprise.. 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 .
Executing Data Quality Projects: Ten Steps to Quality Data ~ Pris: 439 kr. Häftad, 2008. Skickas inom 10-15 vardagar. Köp Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) av Danette McGilvray på Bokus.
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Data Quality Projects and Programs / SpringerLink ~ This chapter focuses on the components necessary for successful data quality projects and programs and introduces various frameworks to illustrate these components, including the Ten Steps to Quality Data and Trusted Information TM methodology (Ten Steps TM). A discussion of two companies—one housing a mature data quality program, the other a .
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Executing Data Quality Projects: Ten Steps to Quality Data ~ Structure of This Book. How to Use This Book. CHAPTER 1 Overview. The Impact of Information and Data Quality. About the Methodology: Concepts and Steps. Approaches to Data Quality in Projects. Engaging Management. CHAPTER 2 Key Concepts. Introduction. The Framework for Information Quality. The Information Life Cycle. Data Quality Dimensions .
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5 steps to an improved data quality assurance plan ~ A comprehensive data quality assurance plan can help organizations identify and correct data errors to ensure business users make decisions based on accurate information. Consultant David Loshin outlines five steps to follow in managing data quality programs.
