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Every company today says it’s data-driven.
Billions are spent on analytics. AI pilots are everywhere. Dashboards glow with real-time metrics.
And yet, only a small fraction of organizations actually transform.
In this episode of FUTUREPROOF., I sit down with Sebastian Wernicke — author of DATA INSPIRED: Building an Organizational Culture of Inquiry for Lasting Transformation—to unpack why.
Sebastian argues that the problem isn’t a lack of data. It’s a lack of inquiry.
Most companies use data to optimize what already exists. Few use it to question assumptions, rethink business models, or challenge leadership narratives. That’s the difference between being data-driven and being data-inspired.
We explore:
- Why data doesn’t “speak for itself”
- How organizations become excellent at staying the same
- The dangers of data-resistant minds
- Why psychological safety is foundational for real AI success
- What “radical data integrity” actually requires
- And how to navigate AI’s “jagged frontier,” where human judgment still matters
This isn’t a conversation about tools; it’s about whether your culture is equipped to learn — especially when the evidence is uncomfortable.
Because AI won’t transform your company. It will amplify whatever culture you already have.
