Data Maturity Model
Reference model
The Data Maturity Model helps organizations understand their data capabilities and plan for improvements.
About this model
A framework that categorizes the maturity of an organization's data capabilities across various dimensions, helping to identify strengths and weaknesses.
Originator not stated.
How to read it
- Assess each dimension of data maturity to identify strengths and weaknesses.
- Use the maturity levels to guide strategic planning for data initiatives.
What this does
Assesses the current state of an organization's data capabilities and identifies areas for improvement to enhance data-driven decision-making.
When to use it
Use it when evaluating how well your organization leverages data and where to focus efforts for development.
Not when: Do not use it when the organization lacks a clear data strategy or when data is not a priority for the business.
What happens next
Conduct a gap analysis to identify specific areas for improvement based on the maturity assessment.
Golden thread
Builds on ←
- Data strategy
- Current data practices
Feeds into →
- Gap analysis
- Data improvement plan
Use this tool, free
Sign in to open the worksheet. Your work saves as you type, the AI can draft the parts you have not filled in, and you finish with an analysis and a 30/60/90-day action plan.
Drafted with AI and reviewed by Eccellere on 04/11/2026. Guidance, not advice: apply your own judgement.