Companies keep buying skills and still stumble. The problem is not competence. It is missing humility, ethics, and adaptive mindsets. Learn the three-legged model for readiness and how to avoid dangerous competence
Two leaders read the same AI analysis. One pivots and wins. One doubles down and loses. The gap is not skills. It is traits and mindsets like humility, resilience, courage, and long-term thinking.
From Data to Decisions: Strategies for Building a Data-Driven Culture from the Leaders of Analytics Podcast
In a world where data is the new oil, being able to understand, analyze and interpret it is a vital skill. As the saying goes, "knowledge is power," and in this case, data literacy is the key to unlocking that power.
The podcast focuses on the importance of data literacy and how it can transform businesses and help individuals make better decisions. Guest Kevin Hanegan provides insights on what data literacy entails. He explains it's not just about reading charts but critical thinking to interpret and reason with data.
Hanegan shares tips like asking "What evidence supports this?" to elicit transparency from AI systems. He advises having logical, multi-step conversations to build deep understanding versus getting overwhelmed by information overload. The key is keeping humans firmly in the loop to steer interactions and think critically.
Other topics covered include overcoming common obstacles like the misconception data literacy is just for data scientists. Hanegan stresses it's for all data consumers. He shares real-life examples of how a data literacy approach solved problems and made better decisions. The podcast explores fostering data literacy within organizations through training, culture change, and processes.
Key Insights
Data literacy is effectively and efficiently using data to make better decisions through critical thinking, reasoning, curiosity, and creativity.
It goes beyond just reading data to challenging assumptions, comprehending meaning, and applying insights.
Don't just accept AI answers at face value - require explanations of reasoning to evaluate critically.
Have multi-step, logical conversations to build true understanding of complex topics.
Overcome misconceptions that data literacy is just for data creators. It's vital for all data consumers.
Processes and checklists create data-driven decision-making habits needed to scale capabilities.
Diversity of perspectives trumps individual ability to reduce blind spots.
Data literacy will remain crucial as the volume of data grows - questioning and challenging data will be key skills.
Kevin is an author, speaker, and thought leader on topics including data literacy, data-informed decisions, business strategy, and essential skills for today. https://www.linkedin.com/in/kevinhanegan/
Two leaders read the same AI analysis. One pivots and wins. One doubles down and loses. The gap is not skills. It is traits and mindsets like humility, resilience, courage, and long-term thinking.
While everyone chases better tools and more data, the real edge comes from better questions. Master the 5-step ladder that elevates any analysis from 'what happened' to 'what should we do next?'
We're testing data literacy all wrong. Multiple-choice quizzes measure memorization while real decisions require navigating ambiguity and uncertainty. Discover how AI coaching transforms assessment from scoring answers to developing critical thinking at scale.
Becoming data literate begins in your inbox. Sign up to receive expert guidance, news, and other insights on the topics of data literacy and data-informed decision-making. Want to know more about our mission? Visit our About Page. Thanks for visiting!