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Data Management Capability Maturity Assessment Model DCMM
DCMM is the national standard of Data Management Capability Maturity Assessment Model GB/T36073-2018, abbreviated in English as (DatamanagementCapabilityMaturityModel). It is the first national standard officially released in the field of data management in China. It is designed to help enterprises make use of advanced data management concepts and methods, establish and evaluate their own data management capabilities, continuously improve data management organizations, procedures and systems, and give full play to the value of data in promoting the development of enterprises towards informatization, digitization and intelligence.

What does DCMM include?

The DCMM Data Management Capability Maturity Assessment Model defines eight core capability domains, namely data strategy, data governance, data architecture, data application, data security, data quality, data standards and data life cycle, subdivided into 28 process domains and 445 capability level criteria.

3. What are the levels of DCMM assessment?

DCMM divides data management capability maturity into five levels, from low to high, initial (level 1), managed (level 2), robust (level 3), quantitative management (level 4) and optimization (level 5), with different levels representing different levels of maturity in enterprise data management and applications.

4. What assessment targets is DCMM suitable for?

DCMM is an assessment framework for enterprise data management and application capabilities, and in terms of the standard itself, any enterprise can apply. It is currently applicable to two main categories.

One is the data owner, e.g., enterprises that own and use big data, such as banks, energy, and communications;

The second is the information technology service provider, e.g., data management middleware technology providers and data management technology solution providers.

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