Executing Data Quality Projects Ten Steps to Quality Data and Trusted Information (TM)

Name: Executing Data Quality Projects Ten Steps to Quality Data and Trusted Information (TM)
Price: 71.8 USD
Availability: InStock
ISBN: 9780123743695

ISBN-10: 0123743699

ISBN-13: 9780123743695

Edition: 2008

Authors: Danette McGilvray

List price: $67.95

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Description:

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,…

Book details

List price: $67.95
Copyright year: 2008
Publisher: Elsevier Science & Technology
Publication date: 9/1/2008
Binding: Paperback
Pages: 352
Size: 8.50" wide x 10.87" 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.



Introduction


The Reason for This Book


Intended Audiences


Structure of This Book


How to Use This Book


Acknowledgements



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


Metrics


Data Quality Tools


The Ten Steps and Six Sigma



A Few Final Words


Appendix


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