Oct 4, 2023
Ep. 255 outlines a practical Power BI skills matrix you can use to measure team capability, spot gaps and single points of failure, and turn vague 'we need a Power BI person' conversations into a clear hiring and training plan.
Sep 29, 2023
Ep. 254 explores what ‘SQL in Fabric’ really means—from querying Delta tables in OneLake to the practical gotchas of building lakehouse-style pipelines. You’ll hear why the storage/compute split matters, what it changes compared to Synapse-era patterns, and where Excel-first teams still hit friction.
Sep 27, 2023
Ep. 253 answers a mailbag question every org is about to face: will Microsoft Fabric’s bigger toolbox overwhelm business users—or can you introduce it without killing self-service momentum? Mike, Tommy, and Seth share practical rollout language, guardrails, and adoption patterns that keep Power BI approachable.
Sep 22, 2023
Ep. 252 clarifies the analytics job-title soup—data engineer, analyst, BI developer, analytics engineer, and data scientist—by mapping each role to the real deliverables your Power BI workflow needs. The crew shares how to set ownership boundaries so modeling, security, and reporting don’t fall into the cracks.
Sep 20, 2023
Ep. 251 focuses on where AI genuinely helps (and where it doesn’t) in a BI workflow—turning vague questions into clear requirements, accelerating DAX and documentation, and improving communication—while staying realistic about security, governance, and hallucinations.
Sep 15, 2023
Ep. 250 tackles the practical question every Fabric team hits fast: what belongs in OneLake, and how do you decide the right boundaries for lakehouses, workspaces, and semantic models. Mike, Tommy, and Seth break down the OneLake vs. lakehouse naming confusion, then land on governance-first patterns that keep shared dimensions, security, and reuse from turning into a data swamp.
Sep 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.
Sep 8, 2023
This episode breaks down practical Microsoft Fabric workspace design: how to separate environments, clarify ownership, and keep permissions sane as you scale. If your tenant is starting to feel messy, you’ll walk away with a repeatable pattern you can apply to new teams and new data products.
Sep 6, 2023
Working in data is hard for reasons most org charts ignore: shifting requirements, fuzzy definitions, and the constant translation between business goals and measurable outcomes. In Ep. 247, Mike, Tommy, and Seth break down where the friction comes from—and the small process changes that make delivery calmer and faster.
Sep 1, 2023
Ep. 246 is a practical guide to spotting the difference between Power BI trivia and real capability: knowledge, understanding, and wisdom—and how to hire for (and build) the kind of judgment that survives messy, real-world projects.
Aug 30, 2023
Moving a Power BI solution from your laptop to the cloud isn’t just ‘Publish’—it’s gateways, credentials, refresh, and ownership. In Ep. 245, Mike, Tommy, and Seth map the operational checklist that keeps a dataset reliable once it leaves Power BI Desktop.
Aug 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.
Aug 23, 2023
If you could spend $100 improving Microsoft Fabric, what would you buy? In Ep. 243, Mike, Tommy, and Seth build a no-nonsense wish list centered on cost clarity, stronger lineage, and admin tooling that scales beyond a single team.
Aug 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.
Aug 16, 2023
Ep. 241 covers a practical Dataflows Gen2 approach to build history over time—and a bigger lesson: solving data problems means addressing technical, business, and adoption realities (not just shipping a clever automation).
Aug 14, 2023
### **Introducing the New PowerBI.Tips WireFrames Feature** In the dynamic landscape of data visualization, staying ahead of the curve is crucial. Th...
Aug 11, 2023
Ep. 240 is a reminder that ‘the art of the possible’ isn’t just flashy dashboards—real Power BI/Fabric value comes from automation, clarity on the business outcome, and designing for adoption.
Aug 9, 2023
Ep. 239 breaks down six practical ways to add context to metrics—comparisons, history, scale, and confirmation—so your Power BI visuals actually drive decisions.
Aug 4, 2023
Episode 238 is a practical walkthrough of Power BI tooltips—why they matter, where they go wrong, and how to design them so users get answers without leaving the visual. Mike, Tommy, and Seth share patterns for tooltip pages, context-preserving visuals, and performance-friendly designs you can reuse across reports.
Aug 2, 2023
Episode 237 digs into chartjunk and visual clutter—how it erodes trust, hides the point of a chart, and slows down decision-making. You’ll get practical Power BI design tactics (tooltips, emphasis, and consistency) to add context without turning your report into noise.
Jul 28, 2023
Ep. 236 breaks down the Fabric ‘SQL vs OneLake’ decision: what’s just different interfaces over the same Delta storage, where governance and permissions still matter, and how to keep architectures understandable as the platform converges.
Jul 26, 2023
Ep. 235 is a practical episode for anyone stuck in ‘fix the dashboard’ mode: it shows how to trace undesirable effects back to real root causes using a systems mindset. You’ll also learn what Chris Webb’s Fabric tests reveal about Direct Lake ‘data hotness’, capacity limits, and why some queries can quietly fall back to DirectQuery.
Jul 21, 2023
Ep. 234 breaks down what makes a ‘perfect’ data analyst: not just technical ability, but the communication and business context needed to turn messy questions into decisions. The team also uses Fabric’s data-integration options (pipelines, Dataflow Gen2, notebooks) to talk through tradeoffs, missing ‘table stakes’ features, and what lock-in really means while the platform is still maturing.
Jul 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.