Executing data quality projects: ten steps to quality data and trusted information

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 makesound 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.This reference includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps approach. It 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 manyof 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. 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.

• ISBN: 978-0-12-374369-5
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 325
• Fecha Publicación: 01/11/2008
• Nº Volúmenes: 1
• Idioma: Inglés