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Executing data quality projects : ten steps to quality data and trusted information
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ISBN: 1281795461 9786611795467 0080951589 0080558399 0123743699 9780080558394 9780123743695 9781281795465 6611795464 9780080951584 Year: 2008 Publisher: Amsterdam ; Boston : Morgan Kaufmann/Elsevier,

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Information is currency. In today's world of instant global communication and rapidly changing trends, up-to-date and reliable information is essential to effective competition. 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.In Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information, Danette McGilvray presents a systematic, proven approac


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Executing data quality projects
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ISBN: 0128180161 0128180153 9780128180167 9780128180150 Year: 2021 Publisher: London, United Kingdom San Diego, CA, United States

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Executing data quality projects : ten steps to quality data and trusted information
Author:
ISBN: 0080558399 9780080558394 1281795461 9781281795465 9786611795467 6611795464 0080951589 9780080951584 Year: 2008 Publisher: Boston Morgan Kaufmann/Elsevier

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Abstract

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.

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