Copilot-Focused Model Enhancements
Using AI Schema & Verified Answers to get the most out of your Model.
The Magic of Tabular Editor
Tabular Editor doesn’t just let you tweak the model more efficiently, it actively improves your working life.
Streamlining & Simplifying Your Data Model for Copilot
It's time to tackle what might be the most underappreciated aspect of a semantic model: simplicity.
Do You Really Need a Semantic Layer? It Depends, But Probably Yes
In Power BI, which I work with extensively, the semantic model isn’t optional, it’s built in.
Semantic Model Foundations - Giving Copilot A Fighting Chance
This article walks through the boring, beautiful basics of semantic model hygiene.
Field Notes from Building a BI Platform on AWS and Power BI
This is not a how-to guide. It’s lessons I learnt the hard way, sometimes messy, occasionally political but hopefully useful.
Plato, Democracy, and the Data Delusion
Plato distrusted democracy because he believed it gave people the illusion of wisdom. I’ve seen dashboards do the same thing.
Socrates in the Boardroom: Why BI Needs Better Questions
The numbers speak, but only the questions make them meaningful.
Confidence Is Not Competence: Why AI Needs Critical Thinking
In business, confidence can often be mistaken for competence.
Why Microsoft Fabric Is the Ideal Platform for AI-Ready Semantic Modelling
Microsoft Fabric doesn’t just support semantic modelling, it elevates it.
Why Your AI Strategy Needs Robust Semantic Modelling
Have you ever had a stakeholder ask why you can't just throw an LLM at your data? I have—and it misses a crucial point. AI might be powerful, but without business context, it’s just guessing. That’s where semantic modelling comes in. In this article, I unpack why semantic modelling is essential for trustworthy, scalable AI — and how it sets the foundation for real insight.