The Dashboard Effect

177 Episodes

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Getting the Same Answer from Power BI, Excel, and Your AI Agent

2026-09-1708:04

When your team asks the same question in Power BI, in Excel, and through an AI agent, the answers should match. That consistency comes from defining your business rules once, upstream in the lakehouse, so every tool reads from the same place. In this episode, Brick Thompson and Landon Ochs walk through the platinum layer, which takes the business logic sitting in your semantic models and the cleansed data in your gold layer and bakes both into materialized tables an LLM can query directly. Th...

The Fabric Data Agent Goes GA

2026-09-0408:14

Microsoft is folding AI into nearly every part of Fabric, and the Fabric Data Agent is now generally available after a long run in preview. Brick and Landon talk through what they've found in testing: where natural language querying holds up, what it takes to get consistent answers, and why we've been adding a platinum stage to the medallion architecture with context files that tell the model how the business actually works. Landon also covers Microsoft's open-source Fabric skills, the PBIP ...

What an MCP Server Actually Does

2026-08-2106:47

An MCP server gives an LLM a standard way to reach your data and run tools against it. Every API is built differently, and the Model Context Protocol puts one interface over all of them, which is why Anthropic's standard gets compared to USB C. This episode covers what the standard defines, how tools and resources set the boundaries on what an AI can do with your systems, and what you get by writing a server yourself. We built one for our own AI-ready data model and hit a context problem alo...

The Platinum Layer: Getting Your Data Ready for AI

2026-08-0509:29

The platinum layer sits on top of the standard medallion architecture, built specifically to get data ready for LLMs. In this episode, Brick and Landon break down what it takes to build one well. Landon walks through the two foundations that make a platinum layer work: markdown files that give the LLM business context and call out data gotchas, and a modeling approach that goes further than typical BI denormalization. They discuss why AI models need a single grain of data to avoid summing er...

The Gold Layer: Your Best Data, Ready to Report

2026-07-2407:22

The gold layer is where cleaned, validated data lives in a medallion architecture, ready for reporting and analysis. In this episode, Brick and Landon break down what actually makes a gold layer good. Landon covers what "good" means in practice: deduplicated data, validated numbers, and a structure business users can trust without checking behind the curtain. They discuss why star schema still holds up as the standard modeling approach, how to handle naming conventions that make sense to ana...

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