Data Maturity Assessment


Discover where your organisation sits on the data maturity curve.


What this tool does

This assessment evaluates your organisation's data maturity across three key dimensions: decision-making approach, individual data confidence, and analytics acceptance. Answer 9 quick questions to discover your maturity level and get tailored recommendations for improvement.

This takes less than 2 minutes to complete. All answers are processed locally in your browser.

Assess your data maturity

Answer 9 quick questions to discover where your organisation sits on the data maturity curve. This assessment evaluates three dimensions: decision-making approach, individual data confidence, and analytics acceptance.

Data literacy maturity curve showing five levels from Initial (100) through to Efficient (500)
Data literacy progresses through five maturity levels, from Initial to Efficient. Based on Microsoft's data culture maturity framework

Question 1 of 9

How are most decisions made in your organisation?

Your data maturity level

Defined
Score: 310
Decision-Making
320
Data Confidence
290
Analytics Acceptance
340

Your organisation has established foundations for data-driven culture.

Discuss your results

The 5 maturity levels

Based on Microsoft's data culture maturity framework, organisations progress through five levels as their data capabilities mature:

Level Score Range Characteristics
Initial 100-199 Decisions based on intuition, limited data access, no formal analytics
Repeatable 200-299 Basic reporting exists, some departments use data, inconsistent practices
Defined 300-399 Formal processes, growing data literacy, organisation-wide tools
Capable 400-499 Data embedded in decisions, strong literacy, self-service analytics
Efficient 500 Data-first culture, continuous improvement, predictive capabilities

Understanding the three dimensions

Decision-Making

How decisions are made in your organisation. At higher maturity levels, data naturally informs decisions at all levels, not just among executives.

Data Confidence

Individual comfort with data. High confidence means employees feel empowered to work with data, understand its limitations, and apply insights effectively.

Analytics Acceptance

Openness to analytics tools and processes. Mature organisations embrace analytics as an enhancement to human judgement, not a threat to expertise.

When to use this tool

  • Baseline assessment - Understand your current data maturity before starting improvement initiatives
  • Strategic planning - Identify priority areas for investment in data capabilities
  • Team alignment - Get leadership and teams on the same page about data challenges
  • Progress tracking - Re-assess quarterly to measure improvement over time

Ready to become data-driven?

Our Business Intelligence team helps UK organisations build data-driven cultures that deliver measurable business value.

Book your free consultation

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