You've invested in the dashboards. You've declared data a top priority. So why does transformation still feel out of reach? In this episode, Brandon Laws sits down with Dr. Sebastian Wernicke, author of Data Inspired: Building an Organizational Culture of Inquiry for Lasting Transformation, to unpack one of business's most frustrating paradoxes: companies that succeed at data... and still don't change. Sebastian challenges the conventional wisdom around data-driven organizations, reveals why human psychology is working against your data strategy, and introduces a more powerful mindset: becoming data inspired. From Goodhart's Law to Netflix's bold decision-making model, this conversation is loaded with ideas that will fundamentally change how you think about data, leadership, and organizational transformation. Don't miss it.

Key Timestamps

[00:00] — Welcome & Introduction to Data Inspired

[00:39] — The bold opening argument: data initiatives don't fail; they succeed at keeping organizations the same. Sebastian unpacks the difference between getting modest value from data and achieving true transformation, and why only ~10% of companies ever get there.

[07:38] — Are organizations paralyzed by too much data? Sebastian explains why collecting more data is often a way of avoiding the harder, more courageous work of challenging your own assumptions.

[09:39] — What "data-driven" actually means in practice and why it's harder than it sounds. Sebastian introduces the "data deficit theory" and draws on 50 years of psychological research showing that data often hardens our existing beliefs rather than changing them.

[13:45] — The Charles Barkley moment: what a legendary NBA star's skepticism about data analysts gets right and wrong about using data in sports and business.

[16:03] — How data is collected and used in modern organizations, and why the real challenge isn't gathering data; it's organizing it. (Yes, there's a "data swamp" warning here.)

[18:00] — Why the classic 8-step decision-making model is a myth. Sebastian explains what monkey brain research and animal herds reveal about how decisions are actually made and what that means for how you introduce data into the process.

[22:36] — Goodhart's Law and the GE cautionary tale: the dangerous difference between steering metrics and success metrics, and what happens when leaders confuse the two.

[25:38] — The decision-making spectrum: from fully automated machine-learning decisions to pure gut instinct and how Netflix found the sweet spot between data and human judgment.

[30:17] — AI vs. machine learning: why we're wired to trust the type of automated decision-making that's actually less reliable and what that means for your organization right now.

[33:34] — Data fatigue is real. Sebastian introduces two archetypes, the Dashboard Director and the Data Diver, and explains why you need both to build a truly innovative organization.

[36:31] — A peek into Part 5: The Toolbox, with practical checklists, workshop formats, and tried-and-tested methods developed over 20 years of real-world data projects.

[39:03] — Closing wisdom: why copying what successful companies did is a trap, and what it really takes to lead transformative change with data, including the courage to slow down before you speed up.

A QUICK GLIMPSE INTO OUR PODCAST

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