The Dashboard Effect

Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs

 NEW EPISODES EVERY OTHER THURSDAY!!!The Dashboard Effect Podcast: Simplifying Data for Smarter Business Decisions Welcome to The Dashboard Effect, the go-to podcast for mid-market businesses and private equity-backed companies looking to harness the power of data. Hosted by Brick Thompson from Blue Margin, we demystify data analytics and business intelligence, offering practical insights and actionable strategies that drive accountability, performance, and growth. From breaking down complex data concepts to sharing real-world success stories, we cover topics like Power BI, data lakes, dashboards, automation, and the latest trends shaping the future of business intelligence. Whether you're a CEO, operator, or BI professional, we’ll help you unlock the potential of your data for smarter, faster decisions. Tune in to The Dashboard Effect and discover how the right data, at the right time, can transform your business. Subscribe now and take the first step toward becoming a data-driven organization! Learn More: BlueMargin.com

  1. 1d ago

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

    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. They cover what stays in the report for runtime behavior like security and date slicers, how to settle a definition of revenue that sales, finance, and the CEO all recognize, and how role-based context can serve the right version of a metric to whoever is asking. They also get into authentication, since MCP servers can run on the same Entra security groups you already manage, and into the other agents that can read your data once it is in a consistent state. Chapters 00:00 Same question, same answer across Power BI, Excel, and NLQ  00:53 One place where the logic lives  01:40 Where the platinum layer sits in the medallion architecture  02:20 What belongs in the semantic model at runtime  03:00 Combining gold layer data with semantic business logic  03:39 Materialized tables and defining revenue for your business  04:46 Handling competing metric definitions, including role based  05:30 Context files, MCP servers, and measures in the lakehouse  05:54 Entra authentication, tool permissions, and agents beyond NLQ  07:35 Updating business logic in one place We're Blue Margin, a managed data services firm working with mid-market and PE-backed companies. Learn more: https://bluemargin.com

  2. Aug 5

    The Platinum Layer: Getting Your Data Ready for AI

    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 errors, why report-specific columns need to be stripped out, and why the platinum layer gets materialized nightly instead of served through views. They also cover the role of MCP servers in this setup, including why Blue Margin builds tightly scoped servers for business users asking direct questions and more open ones for analysts building queries. If you've been wondering what actually separates a working AI data layer from a frustrating one, this episode covers the fundamentals. Key Moments: 1:00 — Markdown Files & Context 2:05 — What Happens Without Context 2:58 — Fabric Data Agent Test 3:19 — Modeling for AI 4:25 — The Grain Problem 5:11 — Extreme Denormalization 5:28 — Cleaning Columns & Tables 6:37 — Nightly Materialization 7:43 — Why You Need an MCP Server 8:22 — Two Types of MCP Access About Blue Margin Blue Margin is a Microsoft Fabric and Power BI consultancy based in Fort Collins, Colorado. We help mid-market and private equity-backed companies build data platforms that hold up: clean architecture, trustworthy reporting, and dashboards teams actually use. The Dashboard Effect is where we talk through the technical decisions behind that work. Learn more: https://bluemargin.com

  3. Jul 24

    The Gold Layer: Your Best Data, Ready to Report

    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 analysts instead of source systems, and what happens when six different systems all claim to have "the customer table." They also get into the messier parts of building a gold layer: matching source system reports to catch hidden filters, deciding how to relate keys across systems without collapsing records that only look the same, and building exception reports to flag duplicates back to the business instead of quietly fixing them downstream. If you've ever wondered what separates a gold layer that works from one that just exists, this episode covers the fundamentals. Key Moments: 0:36 — What is the gold layer?  1:00 — Combining data silos 2:01 — Modeling the gold layer 2:22 — A preview of the platinum layer 2:30 — Naming conventions 3:39 — D_ and F_ naming standards 4:08 — Validating the gold layer 4:36 — Hidden filters and reporting errors 5:13 — Relating fact tables 5:57 — Handling duplicates 6:52 — Exception reports About Blue Margin Blue Margin is a Microsoft Fabric and Power BI consultancy based in Fort Collins, Colorado. We help mid-market and private equity-backed companies build data platforms that hold up: clean architecture, trustworthy reporting, and dashboards teams actually use. The Dashboard Effect is where we talk through the technical decisions behind that work. Learn more: https://bluemargin.com

5
out of 5
9 Ratings

About

 NEW EPISODES EVERY OTHER THURSDAY!!!The Dashboard Effect Podcast: Simplifying Data for Smarter Business Decisions Welcome to The Dashboard Effect, the go-to podcast for mid-market businesses and private equity-backed companies looking to harness the power of data. Hosted by Brick Thompson from Blue Margin, we demystify data analytics and business intelligence, offering practical insights and actionable strategies that drive accountability, performance, and growth. From breaking down complex data concepts to sharing real-world success stories, we cover topics like Power BI, data lakes, dashboards, automation, and the latest trends shaping the future of business intelligence. Whether you're a CEO, operator, or BI professional, we’ll help you unlock the potential of your data for smarter, faster decisions. Tune in to The Dashboard Effect and discover how the right data, at the right time, can transform your business. Subscribe now and take the first step toward becoming a data-driven organization! Learn More: BlueMargin.com

You Might Also Like