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What does it mean to be 'Data Literate?'
Data literacy can be defined in various ways, but it's not merely about data science or predictive analytics. It involves understanding how to transition from raw data to valuable insights within your specific role.
If you're involved in preparing the data, you need a certain set of skills and mindset for its transformation. If you are consuming the data, perhaps interpreting a report someone else has created, comprehension at a high level is required. For instance, if given a statistical report with 95% probability, there's always risk associated as it isn't 100%.
It's essential to remember that although technical skills are important in understanding data, decision-making also requires human and soft skills such as challenging biases and considering diverse perspectives.
I have created two assessments that are referenced in the book Data Literacy in Practice which I co-authored with Angelika Klidas to test knowledge of data literacy. You can take the assessments online here.
Most orgs don’t have a data problem—they have a decision problem. This executive memo reveals why dashboards and training won’t fix culture, and what leaders must do differently to turn data into real decisions.
Think your org is data-informed? Think again. Most companies are still making bad decisions—just with dashboards attached. Discover why traditional data literacy fails—and what it really takes to build a culture where data drives action.
Smart companies don't just collect more data—they collect more perspectives. When different viewpoints examine the same data, hidden insights emerge that homogeneous teams miss. Your data is only as good as the minds analyzing it.
Data literacy isn’t a training problem—it’s a behavior problem. If your employees still default to old habits despite access to dashboards, your approach needs a reset. True data fluency comes from daily actions, not one-time training. Ready to break the cycle?
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