DataEd Webinar: MDM and Data Quality: Not an Option but a Requirement

To view just the slides of this presentation, click HERE.

About the Presentation

This presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI).  You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM.

Learning Objectives:

  • What is reference and MDM?
  • Why are reference and MDM important?
  • Reference and MDM Frameworks
  • Guiding principles & best practices

 

About the Speaker

Peter Aiken is an award-winning, internationally recognized thought leader in the area of organizational data management, architecture, and engineering. As a practicing data manager, consultant, author and researcher, he has been actively performing and studying these areas for more than 30 years. His sixth book is titled XML in Data Management. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 20 different counties. Dr. Aiken’s achievements have resulted in recognition in Outstanding Intellectuals of the 21st Century and bibliographic entries in Who’s Who of Emerging Leaders in America, Who’s Who in Science and Engineering, and other recognitions. His entertaining but clear and concise insights make him a sought after speaker, lecturer and consultant. He is an Associate Professor in Virginia Commonwealth University’s Information Systems Department and the Founding Director of datablueprint.com.

 

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