Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) by Danette McGilvray
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(Paperback)
- Pub. Date: July 2008
- 352pp
- Sales Rank: 243,331
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Product Details
- Pub. Date: July 2008
- Publisher: Elsevier Science & Technology Books
- Format: Paperback, 352pp
- Sales Rank: 243,331
- ISBN-13: 9780123743695
- ISBN: 0123743699
Synopsis
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 suppliers, and the inability to make sound decisions.
Danette McGilvray presents a systematic, proven approach to improving data quality by combining a conceptual framework for understanding information quality with techniques and instructions for improving it. The Ten Step approach applies to all types of data and to all types of organizations.
* Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach.
* Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
* A companion Web site includes links to numerous data quality resources, including many of the planning and information-gathering templates featured in the text, quick summaries of key ideas from The Ten Step methodology, and other tools and information that is available online.
Biography
Danette McGilvray is president and principle of Granite Falls Consulting, Inc., a firm specializing in information and data quality management to support key business processes around customer satisfaction, decision support, supply chain management, and operational excellence.
Customer Reviews
Welcome Additionby Anonymous
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September 02, 2008: Danette McGilvray?s new book is a welcome addition to the data quality literature. Finding and eliminating root causes of data errors is essential to any data program. And most people ?learn quality improvement by doing,? following step-by-step instructions?much as someone just learning to cook sticks close to the recipe. McGilvray does an excellent job of putting quality improvement in context and narrowing her focus. Make no mistake. This book is specially written for project managers, who must lead improvement teams over often-confusing terrain, and for team members who must do the work. This book is clearly written. It is richly detailed and chock full of templates that will help project teams move rapidly. It gets my heartiest endorsement.
A useful, practical guide for data intensive projectsby Anonymous
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June 23, 2008: This book is a valuable reference for not just the data professionals, but also project managers and business representatives interested in or responsible for establishing, maintaining, or improving data and information quality. What sets this book apart from others in the field is the specific, business-impact driven approach to assessing and improving data quality, and the practical steps and techniques it provides every step of the way.
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