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The Pillars of Master Data Management: Data Profiling, Data Integration and Data Quality

by David Loshin


Published: May 6, 2007

As organizations increasingly focus on master data integration, their reliance on readily available technologies, couched within an enterprise governance framework, will continue to drive analytic and operational productivity improvement.

INTRODUCTION

Over the past ten years, data profiling, data cleansing and matching, and data integration tools have matured in concert with a recognized desire on behalf of senior managers to aggregate and consolidate “master data” – replicated or duplicated copies of common or shared data objects such as customers and products that are peppered across disparate or distributed enterprise systems. What differentiates...

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Study Sponsors

Business Objects DataFlux Identity Systems Initiate Systems Pervasive Silver Creek Systems Siperian Master Data Management Solution

About the Author

David Loshin - David is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of The Practitioner's Guide to Data Quality Improvement, Master Data Management, Enterprise Knowledge Management: The Data Quality Approach and Business Intelligence: The Savvy Manager's Guide. He is a frequent speaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com or at (301) 754-6350.

Editor's Note: More articles and resources are available in David's BeyeNETWORK Expert Channel. Be sure to visit today!