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32% of C-level leaders are seen as data literate. That gap makes it harder for organizations to encourage teams to use data effectively and safely. 

Technology drives change. People make it real.

AI doesn’t think by itself.
AI needs people who understand data.

That means being able to:

  • Understand where data comes from
  • Know what data really means
  • Interpret what the results are actually saying

AI hallucinations are real.
Without people who are confident in the language of data, AI can lead organizations to wrong or risky decisions.

That’s why data literacy matters more than ever.

How strong is data literacy in your organization?

We created the Data Literacy Organization Benchmark Survey to help organizations:

  • Understand how strong these skills really are across teams
  • Identify gaps that limit adoption and value
  • Compare results with the Qlik Corporate Data Literacy Index
  • Define clear next steps to strengthen data literacy capabilities

This benchmark is based on data from 600+ publicly traded organizations across 17 industries and roles.

Want to explore it?

 

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