Data Maturity Assessment
Score how data is looked after and used across your teams, covering quality, ownership, access and decision-making, with next steps for the weakest area.
- Free
- No sign-up to try
- Works as you type
Answer for how data is looked after and used across teams today, not in the best team.
0 of 12 answered
Answer the questions to see your score by area as you go.
Answer at least 10 of 12 questions to save your results as a Room.
How it works
How the Data Maturity Assessment works
- 1
Answer the questions
Pick the answer closest to where you are today. It takes a few minutes.
- 2
See your score
Your score by area appears as you answer, with the weakest areas first.
- 3
Save your results
Create a Room with your scores, next steps and an adviser to talk them through.
Worked example
What it makes
12 questions across 4 areas. Each answer scores 0 to 3; an area's score is its points as a share of the most it could get.
Data quality
- How much do people trust the numbers in reports?
- Are key terms (customer, active user, revenue) defined the same way everywhere?
- How are data errors found and fixed?
Ownership and governance
- Who is accountable for each important data set?
- Are there rules for who may see and change data?
- Do you know what personal data you hold and why?
Access and tools
- How do people get the data they need?
- How connected are your data sources?
- How long does it take to answer a new business question with data?
Use and culture
- How are decisions made in meetings?
- How comfortable are staff reading and questioning data?
- Do you check whether decisions worked?
Results bands: Early (0+), Developing (40+), Established (70+), Leading (90+). A self-assessment from your own answers: a starting point for a conversation, not an audit, certification or professional advice.
Who it's for
Who uses it
Data and analytics leads
Show leadership where the foundations are weak.
Operations leaders
Find out why reports are disputed or slow.
Consultants
Baseline a client before a data or BI project.
Good to know
What to consider
- Answer for the organisation as a whole; the best-run team can hide gaps elsewhere.
- It doesn't assess specific tools or platforms.
Questions
About the Data Maturity Assessment
How is this different from the AI readiness assessment?
This one looks only at data: its quality, ownership, access and use. AI readiness also covers strategy, skills, processes and governance for AI specifically.
Is this an audit or a certification?
No. It scores your own answers against a written rubric to show where you stand and what to do next. Use it to start a conversation, not as an audit, certification or professional advice.
Make your results now
Free, no sign-up to try. It becomes a Room you can edit, publish and share.
Create my resultsRelated
Related tools
- AI Readiness AssessmentAnswer 15 questions about your strategy, data, skills, processes and governance to get an AI readiness score by area, with next steps for the weakest ones.
- BI Tool ComparisonCompare business intelligence tools on your data sources, who builds the reports, governance and cost for builders and viewers, and share the weighted result.
- Readiness Assessment GeneratorTurn your expertise into an assessment people take themselves. They answer questions by area, get a readiness score and see what to fix first, with an AI agent that explains their results.