Tag
7 posts
January 3, 2025
In this episode, the team breaks down Metric sets in Power BI and why a shared, reusable catalog of KPIs can change how organizations define and trust their numbers. They cover where Metric sets fit in the experience today, what it means for business users, and the practical impact on model design and governance.
December 11, 2024
Mike, Tommy, and Seth unpack how much ‘knowing data’ matters versus knowing *the* data in your organization, and what that means for your career in analytics. They also dig into practical ways to add narrative context to KPI snapshots—without losing the thread over time.
May 3, 2024
Metrics Hub is a new way to centralize and discover KPIs in Power BI. The team breaks down metric definitions, ownership, governance, and how to avoid metric sprawl.
November 3, 2023
Low adoption isn’t a mystery—it’s usually a measurement problem. Ep. 264 breaks down how to define adoption for analytics work and which signals (report usage, model reuse, enablement, and outcomes) actually correlate with impact.
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.
April 26, 2023
In Ep. 208, Mike, Tommy, and Seth debate whether the analytics “supply chain” is dying—why a shared metrics trunk and edge-driven feedback loops matter, and what AI changes (and doesn’t change) about BI.