DAMA-DMBOK2 and DCAM®2.2 are two leading data management (maturity) models. The first article of this series is about the DAMA-DMBOK2 vs DCAM®2.2 usage statistics.
This article will compare the usage of industry frameworks to implement data management and assess its maturity.
To get statistical information about the usage of frameworks, I have placed several polls on LinkedIn. Let us take a look at the results.
The statistics of the usage of different industry guides
The polls have included the questions about the sources of:
Data management (DM) frameworks/models used for the implementation of data management
Data management/governance maturity frameworks/models to assess maturity.
In each of these polls, I have added DAMA-DMBOK2 and DCAM® 2.2 as optional answers.
Let us investigate the polls’ results one by one and start with the sources of data management frameworks/models.
The source of data management models
The poll has questioned the source of the framework used by a company for data management implementation. The poll’s results can be seen in Figure 1. The DAMA-DMBOK2 vs. DCAM®2.2 usage statistics provide interesting results.
Figure 1. Frameworks used to implement data management.
Two remarkable conclusions come from these results:
DAMA-DMBOK has a leading role compared to other approaches.
Several reasons can explain this result:
DAMA-DMBOK2 is an industry-agnostic guide. DCAM® 2.2 has been initially developed for financial institutions. These differences can explain the fact that DAMA-DMBOK2 is a more known and popular framework.
Representative sample The poll has targeted data management professionals that are active at LinkedIn and got 64 responses. Of course, this group may not represent the whole variety of data management practices worldwide.
Presence at the market DAMA International has a longer history than the EDM Council. The DAMA International was established in 1980. The EDM Council started its operations in 2005.
Differences in the models DAMA-DMBOK2 provides the framework of data management. DCAM®, The Data Management Capability Assessment Model, has been originally designed to measure maturity. It seems that DCAM® 2.2 has changed its focus to the development of the data management program.
Accessibility DAMA-DMBOK2 publications are open to public use. You can purchase these publications for a reasonable price. To get DCAM® 2.2 publications, a company must become a member of The EDM council. This is a more costly solution.
Now let us discuss the second conclusion.
Almost 1/3 of the respondents prefer to develop their model or adjust an existing one.
Therefore, diverse companies treat and scope data management differently.
The absence of a practical methodology to implement data management.
DAMA-DMBOK2 has a great feature. It provides thorough knowledge about each data management capability in a compact format. Simultaneously, this framework has lacked an integrated view on logical dependencies between different Knowledge Areas. DCAM® 2.2 focuses mainly on the assessment of the maturity of different data management components.
These limitations of the leading industry frameworks force companies to develop their models or adjust industry ones.
We can now discuss the data management/governance maturity used by companies in their practices.
The source of data management maturity models
The second poll has focused on the data management maturity models used by companies. In this poll, I have included a wider set of models. You can see the results in Figure 2.
Figure 2. Models used to measure data management maturity.
They lead us to the following conclusions:
DAMA-DMBOK2 remains the leading framework to assess 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 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.
Still, around 5% of respondents adjust existing or develop their models. As I mentioned above, a company should align the data management model with the maturity model. If a company has developed its model of data management, the maturity assessment model should match it.
Along with the usage of industry frameworks, companies also adjust or develop their data management and data management maturity models.
DAMA-DMBOK2 and DCAM® 2 are leading industry frameworks. Still, for some reason, DAMA-DMBOK2 has been used more often. By now, you have become familiar with DAMA-DMBOK2 vs DCAM®2.2 usage statistics. In the next article of the series, we discuss the general differences and commonalities between the two leading industry frameworks: DAMA-DMBOK2 and DCAM® 2.2.
Irina is a data management practitioner with more than 10 years of experience. The key areas of her professional expertise are the implementation of data management frameworks and data lineage.
Throughout the years, she has worked for global institutions as well as large- and medium-sized organizations in different sectors, including but not limited to financial institutions, professional services, and IT companies.
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