Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information

  • 6h 12m
  • Danette McGilvray
  • Elsevier Science and Technology Books, Inc.
  • 2008

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.

About the Author

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.

In this Book

  • Overview
  • Key Concepts
  • The Ten Steps Process
  • Structuring Your Project
  • Other Techniques and Tools
  • A Few Final Words