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About the Webinar
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.
- What is reference and MDM?
- Why are reference and MDM important?
- Reference and MDM Frameworks
- Guiding principles & best practices
About the Speaker
Founding Director, Data Blueprint
Peter Aiken, Ph.D., is widely acclaimed as one of the top ten data management authorities worldwide. As a practicing data consultant, author and researcher, he has been actively performing in and studying data management for more than 30 years. Throughout his career, he has held leadership positions and consulted with more than 50 organizations in 20 countries across numerous industries, including defense, banking, healthcare, telecommunications and manufacturing. He is a highly sought-after keynote speaker and author of multiple publications, including his latest book “Monetizing Data Management.” Peter is the Founding Director of Data Blueprint (www.datablueprint.com), a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency.