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Data Management Maturity (DAMA-DMBOK)

Practice: Data & AI · Type: Model

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. Celeredge scores the data discipline against the DAMA-DMBOK knowledge areas and ranks the foundational gaps in governance, quality, and architecture.

Benefits​

  • Scored on the DAMA-DMBOK's own scale across its knowledge areas — not a generic rubric.
  • Every score is traceable to the client's own evidence.
  • Foundational gaps in governance, quality, and architecture are ranked by severity, ready to become the plan.
  • A board-ready slide deck and detailed HTML report are generated automatically.
  • Re-runnable, so data-management maturity can be tracked as foundations improve.

When to use it​

  • A client wants to score its enterprise data-management discipline against a recognised body of knowledge.
  • An organisation needs to find the foundational gaps in data governance, quality, and architecture.
  • A data strategy or transformation needs a defensible current-state baseline before planning.
  • Leadership wants a comprehensive view of data-management maturity across all knowledge areas.

What it assesses​

Celeredge scores the data discipline against the DAMA-DMBOK knowledge areas, including:

  • Data governance
  • Data quality
  • Data architecture and modelling
  • Storage, security and integration
  • Data operations

Expected output​

Per-knowledge-area maturity scores on the DAMA-DMBOK's own scale; a confidence level and evidence citations behind every answer; foundational gaps ranked by severity; and a board-ready slide deck plus a detailed HTML report. See Maturity Scoring, Reports, and Deck Studio.

How to use it in Celeredge​

  1. Collect evidence — see Evidence Collection.
  2. In Diagnose, select Data Management Maturity (DAMA-DMBOK).
  3. Run it and watch it stream — see Running Assessments.
  4. Review answers with confidence + citations and accept the ones you trust.
  5. Send gaps to Plan — see Gap Analysis.

FAQ​

What is 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.

What does a Celeredge Data Management Maturity assessment deliver?​

An evidence-based maturity assessment scored on the framework's own scale, with gaps ranked by severity and an auto-generated, board-ready slide deck and detailed report — every score traceable to the evidence behind it.

How does the 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.

Celeredge runs an independent readiness and alignment review against this framework. It is not a certification audit and is not endorsed by the standard's owner. Framework and standard names are trademarks of their respective owners.