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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. This model—based on the Capability Maturity Model pioneered by the U.S. Department of Defense for improving software development processes—allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and identify strengths to leverage. In doing so, this assessment method reveals organizational priorities, business needs, and a clear path for rapid process improvements.
In this webinar, we will:
- Describe the DMM model, its purpose and evolution, and how it can be used as a roadmap for assessing and improving organizational data management and data management maturity
- Discuss how to get the most out of a DMM assessment, including its dependencies and requirements for use
About the Speakers
Founding Director, Data Blueprint
Peter Aiken, Ph.D., is a modern-day business guru, highly sought after as a keynote speaker and widely respected as one of the top ten data management authorities worldwide. During the course of a career spanning over 30 years, Peter has revolutionized the data management discipline, an achievement to which more than 50 organizations in 20 countries and myriad industries—from healthcare to defense, telecommunications to manufacturing—can attest. Peter’s technical know-how and experience as a speaker, teacher, consultant, and writer have produced outstanding structural efficiency and profitability for dozens of clients—not to mention six renowned data management publications, the latest of which are his books Monetizing Data Management and Making the Case for the Chief Data Officer. Outside of winning over crowds all across the globe, Peter is the Founding Director of Data Blueprint—a data management consulting firm with a steadfast reputation for putting organizations on the right path to leverage data for competitive advantage and operational excellence—as well as a former President of the International Data Management Association (DAMA), an Associate Professor of Information Systems at Virginia Commonwealth University, and a passionate horse enthusiast alongside his wife Cathy.
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.
Data Management Architect, Arizona Department of Administration
Jeff Wolkove has been with the Arizona Department of Administration (ADOA) Office of Strategic Enterprise Technology (ASET) for nearly 5 years as a Data Management Architect and leads Arizona’s Data Management Program as a member of ADOA-ASET’s Business Engineering Team. Since joining the State he has contributed to strategic planning, enterprise architecture, policies, training programs, IT asset management and other ADOA-ASET projects. Prior to joining the State, Jeff held senior Information Technology and Data Management positions in the health care and health insurance industries. In Canada, he was a partner in a regional firm of Chartered Accountants and remains licensed as a CPA-Chartered Accountant in Quebec, Canada.