Today
1 h
There are roughly a thousand ways to roll out a new analytics platform, a BI tool migration, or an AI initiative to your organization. Most of them involve a town hall, an email with a link to some training materials, and the quiet hope that everyone figures it out. Most of them also don't really work. On this episode, Yehonatan Schwarzmer joined Michael, Val, and Tim to bring some long-overdue organizational change management thinking into the analytics conversation. Yehonatan has the unusual combination of real-world experience in both change management consulting and data leadership, which makes him exactly the right person to explain why the technical rollout is the easy part. The harder part is understanding that when someone says "this tool doesn't have what I need," they might really be saying "I was the hero in the old system and I don't know who I'll be in the new one." The Kübler-Ross grief model shows up. Psychological safety shows up (reluctantly). And Val's question about who analysts should recruit to help them manage change at scale almost gets answered.
For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.