Executing Data Quality Projects

Ten Steps to Quality Data and Trusted Information (TM)

Executing Data Quality Projects on ScienceDirect(Opens new window)
Paperback, 352 Pages
Published: JUL-2008
ISBN 13: 978-0-12-374369-5
Imprint: MORGAN KAUFMANN


By
Danette McGilvray, Granite Falls Consulting, Inc.

Description
Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars every 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 all types of organizations.

Audience:
Database analysts, data analysts, data administrators, data architects, enterprise architects, data warehouse engineers, business analysts, developers, DBAs, subject matter experts, data modelers, and data stewards and their managers.


 
Last update: 6 Nov 2011