Data Maturity Self-Assessment

Select the option closest to your organization's current reality, not where you plan to be.

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1.How does your organization decide which data projects to prioritize?

Strategy

Data priorities are documented and reviewed regularly against organizational goals.

Leadership identifies data needs, but priorities are not tied to a formal plan.

Data investments are planned as part of the annual strategy and budget cycle.

Projects happen when someone has time or a specific problem comes up.

2.When someone finds conflicting or incorrect data, what typically happens?

Governance

They fix it themselves or work around it; there is no standard process.

They report it, but who handles it and how long it takes is unpredictable.

Issues are resolved, the root cause is investigated, and steps are taken to prevent recurrence.

There is a clear person or team responsible, and issues are resolved through a known process.

3.How does your organization know whether the data it relies on is accurate?

Quality

Key datasets have defined quality rules, and someone is responsible for monitoring them.

Quality is checked automatically on an ongoing basis, and problems trigger a defined correction process.

We usually discover problems when a report doesn't match expectations or someone raises a concern.

Some teams check their data periodically, but there is no organization-wide standard.

4.If you need to combine data from different systems or departments, how difficult is it?

Architecture

Data flows are well-documented, maintained, and changes go through a review process.

Very difficult. Data lives in separate tools, formats, or files that don't connect easily.

Key systems are connected, and there is documentation showing how data flows between them.

It can be done, but it requires manual effort and usually involves one or two people who know how.

5.Think about a recent important decision your leadership made. What role did data play?

Analytics

Someone gathered data to support the discussion, but it was pulled together ad hoc.

A regular report or dashboard directly informed the decision.

The decision was based primarily on experience and judgment.

Multiple data sources were analyzed, and outcomes will be tracked to measure whether the decision worked.

6.When a team leader needs data to answer a question, what do they typically do?

People

They ask someone else to pull it for them.

They can find and interpret the data they need independently.

They regularly work with data, share insights with colleagues, and help others build data skills.

They can look at existing reports but need help interpreting or customizing them.

7.If you were asked to show how your organization protects sensitive data, how confident would you be?

Security

We have documented policies covering data access, storage, and retention for most sensitive data.

We could give a partial answer, but some systems or processes are undocumented.

We have comprehensive policies with regular audits, and we can demonstrate compliance quickly.

We would need significant time to figure out where sensitive data is stored and who has access.

Answer all 7 questions to see your results.