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.

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

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.

Pulling financial data together sounds simple, until you’re dealing with 20+ acquired companies, multiple ERPs, and a reporting process held together by massive Excel files.

In this episode of The Dashboard Effect, Brick Thompson sits down with Senior Account Executive Kate Eberle to walk through a real client example: a PE-backed, billion-dollar organization struggling to consolidate financial data across a highly fragmented system landscape.

They break down what went wrong, why Excel stopped scaling, and how moving to a modern data platform eliminated weeks of manual FP&A work, while giving leaders faster, more actionable insight into the business.

About Blue Margin

Blue Margin helps growing companies make better decisions with their data. We work with finance and technology leaders to consolidate messy, disconnected systems into reliable, usable data foundations, so teams can spend less time wrangling spreadsheets and more time understanding what’s actually happening in the business.

Learn more: https://bluemargin.com

If your reporting process depends on manual work, fragile Excel files, or month-old data, we help you move to a more scalable, trustworthy approach.

Most finance and ops teams aren’t short on data, they’re short on trust in the numbers.

This podcast digs into why reporting breaks down, why Excel becomes a crutch, and what actually changes when companies move to cleaner, more reliable data foundations. We talk with CFOs, operators, and data leaders about the messy reality behind budgets, forecasts, board decks, and “magic spreadsheets” and how teams can get out of survival mode and make better decisions with confidence.

At Blue Margin, we help companies stop guessing and start leading with data. Our dashboards turn business performance into a daily habit, giving executives visibility that drives results. Visit https://bluemargin.com to see how we make data your biggest advantage.

In this episode of The Dashboard Effect, hosts Brick and Landon break down why so many data projects fail and how to fix them. Instead of “boiling the ocean” with massive, months-long BI initiatives that never gain traction, they share a practical, proven approach to delivering fast ROI, user adoption, and sustained data success.

Whether you’re leading a data transformation, building dashboards, or just trying to get your first BI win, this episode will help you reset your mindset and find your “real antidote” to failure.

At Blue Margin, we help companies stop guessing and start leading with data. Our dashboards turn business performance into a daily habit, giving executives visibility that drives results. Visit bluemargin.com to see how we make data your biggest advantage.

AI adoption is booming but most initiatives still fail to deliver real ROI. In this episode, Brick and Landon unpack why 60–95% of AI projects miss the mark and what companies can do differently. From the importance of a solid data foundation to starting small with practical use cases, they outline a smarter approach to AI that focuses on results, not hype.

In this episode of The Dashboard Effect, Brick and Landon unpack why so many AI projects fail and how the right data foundation can make all the difference. From breaking down what a semantic model actually is to exploring the role of governance, they explain how structure, quality, and oversight in your data environment directly impact the reliability of AI.

Whether you’re an executive planning your first AI initiative or a developer struggling to wrangle messy data, this conversation offers a clear look at what it really takes to make AI work in the real world.

Blue Margin helps middle-market companies turn their data into a strategic advantage. Through Power BI solutions and modern data platforms, we make data visible, reliable, and actionable—so your team can make smarter decisions and drive performance.

Learn more at https://bluemargin.com