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About the Webinar
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization’s data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
- Purpose of the DMM: How to use the DMM to assess and improve Data Management Maturity
- Getting the most from a DMM assessment: DMM dependencies and requirements for use
About the Speakers
Program Manager, DMM, CMMI Institute
Ms. Mecca is the CMMI Institute’s Program Manager for the Data Management Maturity (DMM) Model, and a primary author of the DMM since January 2011. She secured corporate sponsor funding and created a methodology for DMM-based benchmarking of an organization’s data management capabilities, and has led DMM Assessments for the Securities and Exchange Commission, the Office of Financial Research, Microsoft Corporation, Fannie Mae, the Federal Reserve System Statistics Function, the Ontario Teachers’ Pension Plan and Freddie Mac. She has architected and implemented data strategies and organization-wide data management improvement programs, and managed programs and projects to design enterprise data architectures, master data hubs, data warehouse components, and shared data services. She has a Master’s degree in Philosophy.
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 books “Monetizing Data Management” and “Making the Case for the Chief Data Officer”. Peter is the Founding Director of Data Blueprint, a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency. He is also Associate Professor of Information Systems at Virginia Commonwealth University and past President of the International Data Management Association (DAMA).