Tag
9 posts
July 16, 2025
Mike and Tommy explore the concept of numeracy — how well does your team actually understand analytics? They discuss skills matrices for Fabric adoption and whether we can (and should) test for data literacy on our teams.
April 16, 2025
Mike and Tommy tackle a community question about whether data science platforms are poised to replace traditional BI tools. They explore where analytics is heading and what it means for Power BI practitioners.
May 8, 2024
Quick wins create momentum in BI projects. The team discusses how to pick the right wins, build trust, and avoid trading short-term speed for long-term maintainability.
October 25, 2023
Ep. 261 uses a hilarious ‘ordering data like food’ skit to unpack why BI requests derail—panic timelines, shifting requirements, and invisible validation work—and what teams can do to align expectations before the next board-meeting fire drill.
September 13, 2023
Ep. 249 uses Jevons Paradox to explain a familiar analytics reality: when BI gets easier, demand for “just one more metric” accelerates. Mike, Tommy, and Seth unpack what that means for self-service, governance, and strategy—so your organization gets more clarity, not just more dashboards.
August 25, 2023
Most orgs aren’t short on data—they’re short on agreement and follow-through. In Ep. 244, Mike, Tommy, and Seth break down what ‘data-driven’ really looks like: decisions tied to metrics, shared definitions, and a feedback loop that turns insight into action.
August 18, 2023
In Ep. 242, Mike, Tommy, and Seth break down a sneaky performance lesson: you can cut render time dramatically without rewriting DAX by rethinking the visual and using constant lines from the Analytics pane.
July 19, 2023
In Ep. 233, the crew answers a mailbag question on how much detail belongs in a Power BI report—covering model grain, drillthrough patterns, and ways to keep users in flow without turning VertiPaq into a row-level warehouse.
July 14, 2023
In Ep. 232, Mike, Tommy, and Seth break down the symbiotic relationship between data governance and data storytelling—why trust, ownership, and clear lineage are what turn dashboards into decisions.