Recent research shows that data quality problems cost businesses billions of dollars are annually, with poor data related to waste and inefficiency, damaged credibility among customers and suppliers, and the inability of organizations to make sound decisions. In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents proven, systematic approach to improving and creating data and information quality in the company. Danette McGilvray presents a systematic approach proved to improve the quality of data by combining the conceptual framework for understanding the quality of information with the techniques and instructions to fix it. * Includes a variety of templates, detailed examples, and practical suggestions for implementing each step of The Ten Steps approach. * Allows for quick reference with an easy to use format highlights key concepts and definitions, an important checkpoint, communication activities, and best practices. * A companion Web site includes links to data quality of resources, many including a lot of planning and information gathering templates that appear in the text, quick summaries of key ideas of the methodology Step Ten, and other tools and information available online .