Description: Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information (TM) presents a systematic, proven approach to improving and creating data and information quality within the enterprise. 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. This book describes a Ten Step approach that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. It includes numerous templates, detailed examples, and practical advice for executing every step of the approach. It allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices. The author's 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.
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Item must be returned within: 60 Days
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EAN: 9780123743695
UPC: 9780123743695
ISBN: 9780123743695
MPN: N/A
Book Title: Executing Data Quality Projects: Ten Steps to Qual
Item Height: 2.3 cm
Item Weight: 1.13 kg
Number of Pages: 352 Pages
Publication Name: Executing Data Quality Projects : Ten Steps to Quality Data and Trusted Information (Tm)
Language: English
Publisher: Elsevier Science & Technology
Subject: Enterprise Applications / Business Intelligence Tools, Information Management, Data Processing, Enterprise Applications / General, Quality Control
Publication Year: 2008
Type: Textbook
Item Length: 10.9 in
Subject Area: Computers, Business & Economics
Author: Danette Mcgilvray
Item Width: 8.5 in
Format: Trade Paperback
