Assessment framework · Data & AI
Data management maturity assessment (DAMA-DMBOK)
The DAMA-DMBOK (Data Management Body of Knowledge) defines the knowledge areas of enterprise data management: governance, quality, architecture, modelling, storage, security, integration and more.
Score the data discipline against the DAMA-DMBOK knowledge areas: governance, quality, architecture and operations.
What it covers
Inside the Data Management Maturity assessment.
Celeredge scores the data discipline against the DAMA-DMBOK knowledge areas and ranks the foundational gaps in governance, quality and architecture.
- Scored on Data Management Maturity's own scale, not a generic rubric
- Every score traceable to the client's own evidence
- Gaps ranked by severity, ready to become the plan
- A board-ready slide deck and detailed report, generated automatically
How it works
From the client's documents to a board-ready deck.
1 · Evidence in
Upload the client's documents: policies, reports, data. An AI interviewer asks targeted follow-ups to fill anything missing.
2 · Scored on the standard
Every dimension is scored on the framework's own scale, with each score traceable to the evidence behind it, and gaps ranked by severity.
3 · Board-ready out
A board-ready slide deck and HTML report are generated automatically: executive summary, maturity landscape and a sequenced plan.
Questions
Data Management Maturity assessment FAQ
What is Data Management Maturity?
The DAMA-DMBOK (Data Management Body of Knowledge) defines the knowledge areas of enterprise data management: governance, quality, architecture, modelling, storage, security, integration and more.
What does a Celeredge Data Management Maturity assessment deliver?
An evidence-based maturity or readiness assessment scored on Data Management Maturity's own scale, with gaps ranked by severity and an auto-generated, board-ready slide deck and detailed report. Every score is traceable to the evidence behind it.
How does the Data Management Maturity assessment work?
Clients upload their own evidence: policies, reports and data. An AI interviewer asks targeted follow-ups to fill anything missing, the platform scores against the framework, ranks the gaps, and generates the deliverables.
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See the Data Management Maturity assessment on real data.
We'll run Data Management Maturity live and score it from a client's own documents.