These results are based on 2 LinkedIn polls:
View Poll 1
View Poll 2
1. 47 % of respondents use DAMA-DMBOK2.
2. of respondents use DCAM® 2.2.
3. 5% of respondents use CMMI-CERR-RMM.
4. 5% of respondents use the IBM DG Council Maturity Model.
5. 9% of respondents use the Stanford DG Maturity Model.
6. 9% of respondents use Gartner’s Ent. Inf. Man. Model.
7. 5% of respondents use their own self-developed/adjusted model.
8. 3% of respondents do not use any DM maturity model at all.
We interpret these results as the following:
- DAMA-DMBOK2 remains the leading framework for assessing maturity. The data management maturity model should be aligned with the data management model used in a company. If a company applies the DAMA-DMBOK2 model, it should also use the DAMA-DMBOK2 approach to assess maturity. Performing the mapping between two different models is often “mission impossible.”
- DCAM® 2.2, The Data Management Capability Assessment Model, is the second leading framework to assess maturity. DCAM® 2.2 elaborates on a very detailed and practical description of the statuses of different capabilities.
DCAM® 2.2 originally targeted the industry of financial institutions. It seems that DCAM® 2.2 has extended its focus and become more of a generic framework.
- Still, around 5% of respondents adjust existing models or develop their own. As mentioned above, a company should align the data management model with the maturity model. If a company has expanded its data management model, the maturity assessment model should match it.