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Data management maturity, in practice

How to assess your data management against DAMA-DMBOK and DCAM, read the results, and decide what to improve first.

Data strategy and leadership

AI governance framework: where data governance ends and AI governance begins

The parts of an AI governance framework, what data governance already gives you for each, the NIST AI RMF, ISO/IEC 42001 and EU AI Act, and seven steps to put one in place. 8 min read

AI maturity model: the stages, and the data maturity each one needs

MITRE, Gartner, Microsoft and our own five-level AI maturity model compared, the data maturity each AI stage depends on, and seven steps to run an AI maturity assessment. 9 min read

AI governance maturity model: five levels with a scoring rubric

Five levels of AI governance maturity, a rubric for six capabilities from policy to incident handling, and a way to score a sample of your AI systems against evidence. 10 min read

Data strategy and leadership

AI readiness assessment: the data questions to answer before you start

What an AI readiness assessment checks, how it differs from AI maturity, a 13-row data checklist for one use case, five steps to run it and the rules for go, conditional go or not yet. 10 min read

Data maturity assessment: how to run one in six steps

The method end to end: choose the framework and the people, ask questions people can answer, score each area, read the disagreement and plan 90 days. 9 min read

DAMA-DMBOK vs DCAM: which framework fits your organization?

DAMA-DMBOK or DCAM? A side-by-side comparison of the two data management frameworks, when each fits, and a map for using both without scoring twice. 8 min read

Data governance

Data governance maturity model: five levels and a scoring rubric

A five-level data governance maturity model with the evidence for each level, a one-hour way to score your own governance, and how the known models compare. 7 min read

DCAM framework explained: the EDM Council’s capability model

What the DCAM framework covers, how its eight components changed in v3, and how a DCAM score from 1 to 6 is read, for readers who aren't members. 9 min read

DAMA-DMBOK explained: the data management body of knowledge in plain English

What the DMBOK covers, which edition is current, what it is not, and how to turn its 11 knowledge areas into a maturity assessment you can score. 10 min read

Data maturity model: the five levels and how to place your organization

The five levels of data maturity, the evidence that proves each one, the main models side by side, and a worked example of scoring each area on its own. 10 min read

See where your data management stands

The free Quick assessment takes about 10 minutes. You get a maturity score for every area, against DAMA-DMBOK or DCAM.

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