Executing Data Quality Projects Ten Steps to Quality Data and Trusted Information

ISBN-10: 0123743699

ISBN-13: 9780123743695

Edition: 2008

Authors: Danette McGilvray

List price: $67.95
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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. Features * Based on the author's own training course given to hundreds of clients, and workshop attendees. * A practical guide filled with templates, examples and advice for executing every step * An easy to use reference with Definitions, Key Concepts, Communication Activities, Checkpoints, Warnings, and Best Practices highlihgted with icons and call out boxes throughout the book
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Book details

List price: $67.95
Copyright year: 2008
Publisher: Elsevier Science & Technology Books
Publication date: 7/11/2008
Binding: Paperback
Pages: 352
Size: 8.75" wide x 11.00" long x 1.00" tall
Weight: 2.464
Language: English

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.

The Reason for This Book
Intended Audiences
Structure of This Book
How to Use This Book
Overview Impact of Information and Data Quality
About the Methodology
Approaches to Data Quality in Projects
Engaging Management
Key Concepts Introduction Framework for Information Quality (FIQ)
Information Life Cycle
Data Quality Dimensions
Business Impact Techniques
Data Categories Data Specifications Data Governance and Stewardship
The Information and Data Quality Improvement Cycle
The Ten StepsT Process Best Practices and Guidelines
The Ten Steps
Define Business Need and Approach
Analyze Information Environment
Assess Data Quality
Assess Business Impact
Identify Root Causes
Develop Improvement Plans
Prevent Future Data Errors
Correct Current Data Errors
Implement Controls
Communicate Actions and Results
Structuring Your Project
Projects and The Ten Steps Data Quality
Project Roles Project Timing
Other Techniques and Tools
Introduction Information Life Cycle Approaches Capture Data
Analyze and Document Results
Data Quality Tools
The Ten Steps and Six Sigma
A Few Final Words
Quick References
Framework for Information Quality
Posmad Interaction Matrix Detail
Posmad Phases and Activities
Data Quality Dimensions
Business Impact Techniques
The Ten StepsT Overview
Definitions of Data Categories
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