Most data programs don't fail because of bad technology, they fail because nobody wants to talk about the hard stuff. John Ladley has spent decades proving that behavior change is what separates the programs that stick from the ones that quietly die. In this episode, he's not holding back. From walking away from clients who weren't serious to telling a CIO to admit he didn't know what he was doing, John shares the unfiltered lessons that most consultants won't say out loud. If you work in data and you're tired of watching good ideas go nowhere, this one's for you.

Data governance is often seen as restrictive—but what if it’s actually the key to making data work?

Bob Seiner joins Sid Atkinson to challenge how organizations think about governance, accountability, and behavior change. Drawing from decades of experience, Bob explains why governance efforts stall, what shifts when organizations focus on outcomes instead of activity, and how ownership, not tooling, drives real adoption.

He also introduces the concept of data fluency, exploring why the ability to communicate with data is becoming just as important as understanding it.

Hosts Sid Atkinson and Lee Harper engage with guests Gary Griffin and David Holcomb, authors of "Building a Data Culture: The Usage and Flow Data Culture Model", to explore the concept of data culture. They challenge the notion that culture is unmanageable, presenting frameworks and models that make culture visible and actionable. The discussion covers the three R's of data culture, the usage and flow model, the significance of microcultures, and the differences between public and private sector dynamics. The conversation culminates in the introduction of the Data Culture Institute, aimed at equipping leaders to build and sustain a data-driven culture.