The Dashboard Effect

Hosted by Brick Thompson, Jon Thompson, Caleb Ochs, Landon Ochs

Business

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Episodes

175

Latest episode

Aug 2026

Language

EN-US

About the show

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

Listen to episodes

60 recent

September 4, 2026Episode 1758 min

The Fabric Data Agent Goes GA

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 and PBIR report format that finally puts Power BI into source control, and the validation loop where the AI generates a report, screenshots it, catches its own broken visuals, and corrects them. Both come back to the same conclusion: the results depend on a strong data foundation and someone who knows their way around Power BI. The Dashboard Effect is hosted by Blue Margin. We build the data foundation that mid-market and PE-backed companies run their reporting and AI on. Learn more: https://bluemargin.com

August 21, 2026Episode 1746 min

What an MCP Server Actually Does

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 along the way: the model would skip the business context files and bluff its way through an answer, then admit it never read them when asked directly. The fix was a token buried in those documents that the server checks before it will run any other tool. If you work in data, BI, or analytics engineering and you are weighing a vendor's MCP server against building your own, start here. Like and subscribe for straight talk on data, AI, and running a modern business on real numbers. Blue Margin builds and manages data platforms on Microsoft Fabric and Power BI for mid-market and private equity backed companies. Our Managed Data Service consolidates your systems into one governed source, delivers the dashboards your team runs on, and maintains them as your business changes. Learn more at bluemargin.com.

August 5, 2026Episode 1739 min

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

July 24, 2026Episode 1727 min

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

July 9, 2026Episode 1715 min

Bronze, Silver, Gold: A Practical Guide to Medallion Architecture

How does raw data from a system like Salesforce become a dashboard your team can actually trust? On this episode of the Dashboard Effect, Brick and Landon walk through medallion architecture and the three stages data moves through on its way to becoming useful. They keep it simple: the first stage holds an exact copy of your source data, the middle stage cleans it up and combines data from different systems, and the final stage delivers a polished, analytics-ready view for tools like Power BI and Tableau. Landon also makes the case for keeping things lean rather than forcing every dataset through every step, and shares where speed and scale change the approach. If you're building or refining how your data flows, this is a clear, approachable starting point. About Blue Margin - Blue Margin is a fractional data and analytics team for mid-market and PE-backed companies. Acting as an extension of your team, they build and manage your data platform, shape your data strategy, and deliver Power BI dashboards that give leaders a clear, real-time view of what's driving the business. The goal is simple: turn scattered data into decisions and build a culture of accountability and growth along the way.

June 12, 2026Episode 17025 min

Can You Run Your BI on AI?

Everyone's asking the same question: why can't I just run all my business intelligence through AI? In this episode of The Dashboard Effect, Brick and Landon break down the real answer. You probably can, but only if your data foundation is built for it. They cover where AI analytics fit alongside traditional Power BI, why a strong medallion architecture is the difference between reliable answers and confident wrong ones, and the practical engineering that makes natural language query trustworthy. They also dig into rising token costs, vendor lock-in, and how to decide what belongs in a dashboard versus a chat window. If you run a data-driven business and you're weighing how far to push AI into your reporting stack, this one is for you. Subscribe for more conversations on data, dashboards, and getting real value from your BI. About Blue Margin - We build and manage the data foundation that turns scattered systems into reliable, AI-ready reporting, so your team gets trustworthy answers without the overhead of an internal data team. Learn more: https://www.bluemargin.com/

June 10, 2026Episode 16919 min

Using Vibe Coding in Real Data Projects

In this episode, the team gets hands-on with vibe coding and what it actually looks like inside real data work. From building API connections to generating synthetic datasets, they walk through where AI is genuinely speeding things up and where it still runs into friction. The big takeaway: writing code might be faster, but everything around the data still matters just as much. Blue Margin helps growing companies make better decisions with their data. From building data pipelines to creating reporting and dashboards, we handle the technical side so teams can focus on using their data—not chasing it.

June 3, 2026Episode 16814 min

AI Won't Kill Your Coding Career

AI is replacing software engineers. At least that's what the headlines say. But is it actually true? In this episode of The Dashboard Effect, Brick - CEO of Blue Margin and Landon - Data Platform Manager at Blue Margin, get into what AI coding tools are really doing to software engineering teams right now. They cover why developers who tried AI tools in 2024 gave up too soon, how the best engineers on their teams are using Claude Code and ChatGPT Codex to ship faster without losing the craft, and why software engineering job growth keeps climbing despite all the doom and gloom. If you lead a dev team, work in software, or just want to understand where this is all heading, this episode will change how you think about AI and your career. 👍 Like and subscribe if you want no fluff conversations about data, AI, and running a modern tech business. Blue Margin is a business intelligence and data analytics firm helping companies turn raw data into decisions that drive revenue. With 120+ clients across industries, their team specializes in building dashboards and data platforms that leaders actually use. Learn more at bluemargin.com.

March 25, 2026Episode 16810 min

The Hidden Complexity Behind Simple Dashboards

Designing a dashboard might seem straightforward, just add charts, metrics, and a few visualizations. But the dashboards that actually help businesses make decisions often look surprisingly simple. In this episode of The Dashboard Effect, Brick and Landon talk about why the most effective dashboards are usually the simplest to read, and the hardest to build. Behind a clean dashboard is often a lot of complex data modeling, business rules, and engineering work that makes the information accurate and easy to understand. They walk through real examples, including salesperson ROI dashboards, accounts receivable reporting, and price-volume-mix analysis, to show how much work happens behind the scenes to create dashboards that people actually use. If you’ve ever wondered why some dashboards get ignored while others become essential tools for decision-making, this episode explains the difference. Learn more about Blue Margin: https://bluemargin.com

March 12, 2026Episode 1688 min

Should You Build a Data Team or Borrow One?

Many companies assume the best way to build a data capability is to hire an internal team. But is that always the right move? In this episode of The Dashboard Effect, Brick and Landon break down one of the most common questions they hear from prospective clients: Why outsource your data work instead of hiring in-house? They talk through the real tradeoffs companies face when building a data team, from the challenge of finding a single person who can do everything (the “Batman” hire), to the hidden costs of recruiting, training, and managing multiple specialists. They also discuss why outsourced teams can sometimes deliver more value than a single internal hire, thanks to a broader bench of expertise and the ability to scale resources up or down as business needs change. Whether you're considering building your own data team or looking for ways to get more out of your data infrastructure, this conversation offers a practical look at the pros and cons of each approach.