What does the DMMM provide?
- A step-by-step guide to implementing, embedding, and measuring data management capabilities.
- A common approach for tracking progress that any divisional data office can employ.
- A standard against which data councils can be compared (i.e. groups of data stakeholders).
- A detailed list of artefacts that can be used to show proof and progress.
The Software Engineering Institute (SEITM) at Carnegie Mellon University began developing a maturity framework to help firms improve their software processes in August 1986, with assistance from the MITRE Corporation.
Data management models have developed since then, and there are now a myriad of solutions to select from. DAMA-DMBOK, DCAM v2, CMMI CERT-RMM, IBM Data Governance Council Maturity Model, Stanford Data Governance Maturity Model, Gartner’s Enterprise Information Management Maturity Model, and Orange Maturity Model are some of the most well-known. To find out which maturity models are most widely employed, we performed a survey.
According to the findings, 50% of respondents utilise DCAM v2 (the EDM Council’s Data Capability Assessment Model), while 17% use DAMA, the CMMI custom maturity models. DCAM v2 is certainly a popular choice, but it is critical to ensure that it is deployed appropriately.
Collibra – or any other metadata management solution – can be used to link your metadata to generate an objective assessment of a data council’s maturity. The results of this evaluation can then be shown on a graphical dashboard that includes the following data:
- DMMM Heat Map: A heat map picture of the data council’s maturity model progress.
- Maturity Plans: A complete perspective of the maturity model, including its current state, goal dates, and next stages.
- Details at the row level: A thorough view of the maturity model taken directly from Collibra or another metadata management solution.
- Framework for Data Policy and Compliance (DPCF) The DPCF scorecard can be accessed via this link.