Measuring Data Management Practice Maturity
This presentation provides guidance to organizations wanting to increase the maturity of their data management (DM) practices. Increasing DM maturity levels will positively impact the coordination among organizations, individuals, and systems. Project has assessed the maturity of more than 200 self-reported organizational DM practices. Using an SEI/CMMI derived process-improvement framework, the assessment highlights:
- various stages of DM maturity;
- relatively weak and strong DM practice areas; and
- DM community implications.
Results indicate the approach’s utility; they also indicate that a wide range exists in the current DM state-of-the-practice; and point out a road map for suggesting improvements.
Peter Aiken, Ph.D. lectures for the Department of Information Systems, at the School of Business, Virginia Commonwealth University. He was a Director of the Hypermedia Technologies Lab at George Mason University between 1989-1993. Peter managed the Reverse Engineering Program within the Office of the Chief Information Officer at the Department of Defense (1992 -1997). He is a visiting scientist to the Software Engineering Institute at Carnegie Mellon University and a Research Director at the Institute for Data Research. Peter has been a DAMA International Advisor since 1999 and was the 2001 winner of a DAMA International Individual Achievement Award.
- Peter Aiken, M. David Allen, Burt Parker, Angela Mattica, Measuring Data Management Maturity: A Community’s Self-Assessment – Paper
- Peter Aiken, Measuring Data Management Maturity: A Community’s Self-Assessment – Presentation