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About the Webinar

Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it from a master/transaction perspective. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for organizational transactions – its master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (1/3 succeeding on-time, within budget, achieving planned functionality). MDM success depends on a coordinated approach involving typically Data Governance and Data Quality activities. Program learning objectives include:

• Understanding foundational reference and MDM concepts
• Why they are an important component of your Data Architecture
• Awareness of Reference and MDM Frameworks and building blocks
• What consists of MDM guiding principles and best practices
• How to utilize Reference and MDM in support of business strategy

About the Speaker

Peter Aiken, PhD

Founding Director, Data Blueprint

Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author, and researcher, he has studied DM for more than 30 years. International recognition has come from assisting more than 150 organizations in 30 countries. He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy. Peter also hosts the longest running webinar series dedicated to DM (hosted by dataversity.net). In 1999, he founded Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I), and Associate Director of the MIT International Society of Chief Data Officers.

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