Alexander Arvidsson (he/him)
@arcticdba
Data Platform MVP, MCT, MCSE. Swedish Power BI UG leader. I make data matter, because only data that matters can inspire change. One third of #KneeDeepinTech
You found the right metric. Rebuilt the dashboard. Everyone nodded. Nothing changed. The problem isn't your analysis. It's that a lever is not a mechanism. It's a person with reasons to leave things alone. www.arcticdba.se/posts/pullin... #DataVisualization #DecisionMaking #Communication
Most dashboards are all gauges, no levers. You can stare at the altimeter all you want, but it's not connected to anything. Three simple questions reveal which numbers on your report someone can actually pull. www.arcticdba.se/posts/findin... #DataVisualization #DecisionMaking
Versioning an ontology isn't like versioning an API. There's no compiler to tell you who's right when finance and sales disagree about what "active customer" means. Someone has to own that decision. Here's what that looks like in practice. www.arcticdba.se/posts/ontolo... #Ontologies
A LinkedIn post argues ontologies are doomed the moment you finish them. Reality keeps changing, so why bother? It's a sharp critique, but I think the diagnosis is wrong. The problem isn't formal modeling. It's scope. www.arcticdba.se/posts/ontolo... #Ontologies
I said my rituals are for me, not the audience. That's still true. But whatever the waistcoat does to my state doesn't stay contained. It leaks out in how I stand and talk. The audience benefits anyway. www.arcticdba.se/posts/ritual... #Speaking
My MVP award just renewed for year nine. I should feel celebratory. Instead, I'm thinking about how the community that gave me everything is changing faster than I can describe. We built the library. Someone else started charging admission. www.arcticdba.se/posts/the-li... #Mvpbuzz #Community
Microsoft Fabric IQ wants to solve a real problem: business knowledge locked inside Power BI datasets can't explain itself to AI agents. The fix? Ontologies. But the tool doesn't resolve the organisational problem. It just makes it visible. www.arcticdba.se/posts/meanin... #Models #Bi #Ontologies
I spent nearly three decades building dimensional models before realizing they describe how we store facts, not what those facts mean. That distinction matters more than I expected. Here's why ontologies are the missing layer. www.arcticdba.se/posts/map-is... #Models #Bi #Ontologies
I asked AI to critique my architecture decision. It said my approach was solid. That wasn't feedback. That was a system trained to agree with me. New research shows this is systematic, and it's changing how we think. www.arcticdba.se/posts/not-di... #Llms #Ai #Cognition
Cloud work is like assembling a model kit. On-prem was Lego with no instructions. If I had to go back, there's one skill I'd need to completely relearn. It's not what you'd expect. www.arcticdba.se/posts/t-sql-... #On-prem #Cloud #Skills #tsql2sday
I'm heading to Prague for DataPoint, delivering a session I've been refining for years. It's about data literacy, and why the topic keeps getting more urgent. Quick trip, one talk, then home. But if you're there, come say hi. www.arcticdba.se/posts/data-p... #Speaking #DataLiteracy
73% of people follow a confident AI even when it's wrong. Even when they're motivated and getting feedback. Your junior engineers are walking into production with no override reflex - because we trained them to build, not to judge. www.arcticdba.se/posts/eating... / #LLMs #AILiteracy #Training
Most speakers spend weeks building their argument, then hand the ending to whoever raises their hand first. The Q&A trap is real, and it's costing you the one moment your audience will actually remember. Here's how to take it back. www.arcticdba.se/posts/drawin... #Speaking
Newport isn't easy to get to. That's kind of the point. I'm heading back to SQLBits with two sessions: one on why sharp insights die in boardrooms, another on why your Fabric costs aren't what you think they are. www.arcticdba.se/posts/sqlbit... #Speaking
GDPR gives you the right to be forgotten. LLMs give you no such thing. Once your data dissolves into model weights, it's gone - and so is any practical path to removing it. Here's why that matters. www.arcticdba.se/posts/nothin... #LLMs #AILiteracy
When a measure becomes a target, it ceases to be a good measure. The Soviet nail industry proved it in 1974. Your KPIs are probably proving it right now. www.arcticdba.se/posts/goodha... #KPIs #DataLiteracy
AI tools are demanding fighter pilot-level cognitive multitasking from every knowledge worker. We're neither selected for it nor trained for it - and a new Berkeley study suggests we're paying the price without anyone noticing. arcticdba.se/posts/more-s... #AI #Cognition
I'm at the Microsoft MVP Summit in Redmond — 500 acres, 83 buildings, 4000 MVPs, and full NDAs. The roadmap previews aren't why I'm here. The real value is the conversations you can't have from home. www.arcticdba.se/posts/other-...
Power BI User Days in Utrecht had something rare: a genuine soul. But more interesting than the event itself is what the questions people asked reveal about where this community is finally heading. www.arcticdba.se/posts/a-new-... #Speaking #UserGroup #PowerBI
BLOG ALERT! arcticdba.se/posts/nondet... LLMs are non-deterministic across six layers most people don't know about. Temperature=0 and seeds constrain tokens, not reasoning. Common solutions fail because they tune parameters instead of adding structural constraints. Dice rolling in production. #AI
BLOG ALERT! arcticdba.se/posts/the-tr... LLM-assisted coding let a non-developer rebuild Microsoft Access as a web app without knowing React or TypeScript. It's powerful for prototyping and requirement clarity, but flight simulators don't make pilots - and Claude doesn't make developers. #AI
BLOG ALERT! arcticdba.se/posts/fighti... Prompt injection isn't a bug we can patch - it's architectural. But we're not helpless. Here's what actually works in production, what fails, and when defenses break in unexpected ways. #AI #LLMs #Security #Architecture