Executing Data Quality Projects

Ten Steps to Quality Data and Trusted Information (TM)

Nonfiction, Computers, Database Management, Application Software, Business Software, General Computing
Cover of the book Executing Data Quality Projects by Danette McGilvray, Elsevier Science
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Author: Danette McGilvray ISBN: 9780080558394
Publisher: Elsevier Science Publication: September 1, 2008
Imprint: Morgan Kaufmann Language: English
Author: Danette McGilvray
ISBN: 9780080558394
Publisher: Elsevier Science
Publication: September 1, 2008
Imprint: Morgan Kaufmann
Language: English

Information is currency. 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 this important and timely new book, Danette McGilvray presents her “Ten Steps” approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—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 available online.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Information is currency. 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 this important and timely new book, Danette McGilvray presents her “Ten Steps” approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—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 available online.

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