Data Maturity
What is Data Maturity?
The level of sophistication of an organization's data management practices, including governance, quality, privacy, and analytics capabilities.
Data maturity is not a score an organisation awards itself. It is what a capability assessment model measures, and the models disagree about what to measure, so the first question is always which model the assessment ran against.
What a data maturity assessment actually measures
The EDM Council's Data Management Capability Assessment Model is the instrument most often meant by the phrase. It assesses capability across eight components, then scores maturity against them separately: Data Management Strategy, Business Case and Funding Model, Data Management Program, Data Governance, Data Architecture, Technology Architecture, Data Quality Management, and Data Operations and Control Environment. A maturity rating without a named component behind it is an opinion.
The models are not interchangeable
DCAM assesses the management of data as an enterprise discipline. CDMC assesses the same discipline where the data has moved to cloud, and is organised around six components with Key Controls that are meant to be automated and measured rather than asserted. DAMA-DMBOK2 is a body of knowledge rather than an assessment, spanning seventeen domains including one named Data Ethics and Maturity. ISO 8000 does not assess maturity at all: it specifies data quality, across domains including master data, identifiers, provenance, accuracy and completeness. An assessment against one of these answers a different question from an assessment against another.
Why the term has no control text behind it
No control in the corpus names data maturity, which is why this page cannot quote a requirement the way a term like access control can. The concept is the output of an assessment rather than a requirement anyone writes down. The instruments above are where the requirements live, and they are what an assessor will actually hold you to.
Frameworks that govern data maturity
What the standards actually require on data maturity
Requirements naming data maturity across this standard, quoted from the control text.
Look at the agency's Data Maturity Assessment results to find strengths and weaknesses, in particular questions 1 to 14 and 30 to 47.
australian-government-data-governance-framework-2025::A.1.4 · A.1.4 Use the Data Maturity Assessment results →Questions people ask about data maturity
What is Data Maturity?
Why is Data Maturity important for compliance?
Which compliance frameworks address Data Maturity?
Where can I learn more about Data Maturity?
See how Data Maturity applies across compliance frameworks
Our platform maps 1,016 frameworks with 316K cross-framework control mappings. Explore how this concept is addressed across standards.