There's a moment most Power BI developers will recognise. You've built something that looks impressive - clean visuals, well-structured layout, the client nods approvingly. And then someone asks: "Can you show me which customers are driving 80% of our revenue?" or "What's the trend if we strip out the last three months of seasonal noise?"
And you realise the visuals are fine, but the maths underneath isn't quite there yet.
Our founder, Lazar Jovovic, has spent years in that exact position - working with clients across retail, financial services, and real estate, getting deeply comfortable with DAX. Not just the syntax, but the thinking behind it. The way filter context behaves. The way time intelligence can be twisted to answer questions that seem simple on the surface but aren't. The way a well-built measure can replace three separate reports and a spreadsheet that someone's been maintaining manually for years.
That experience is what eventually became Mastering DAX in Power BI: From Fundamentals to Advanced Analytics, now available on Amazon.
Why write a book when there's so much free content out there?
There's no shortage of DAX tutorials online. Blog posts, YouTube videos, community forums - the basics are well-covered.
But the basics only take you so far. When you're working on a real business problem - calculating customer lifetime value, building a forecasting model using moving averages, or applying the Pareto principle to identify which 20% of your product catalogue generates 80% of your margin - you quickly discover that most resources stop before things get interesting.
That's the gap this book sets out to fill. Not another introduction to CALCULATE, but a proper guide to the kind of DAX that actually shows up in professional work. Practical, applied, and explained with enough context that you understand not just what to write, but why it works.
What the book covers
The book is built around the Adventure Works DW dataset - a realistic, well-structured data warehouse that mirrors the kind of environment you'd encounter in an actual organisation. Every concept is introduced through scenarios that reflect genuine business questions.
You'll work through DAX fundamentals properly - row context, filter context, evaluation order - before moving into more demanding territory: time intelligence calculations, dynamic filtering, advanced aggregations, and performance optimisation using DAX Studio. There's also a chapter on forecasting techniques including Simple Moving Average, Rolling Moving Average, and Weighted Moving Average, which are the sorts of calculations that clients tend to want and that most developers quietly dread.
The goal throughout is to teach you how to think in DAX, not just how to copy-paste it.
To support that, all Power BI Desktop (.pbix) files from the book are available for download via OneDrive. The link is inside the book. You can follow along with the exact models and data used in each chapter, which makes a considerable difference when you're trying to get something to actually work rather than just understand it in theory.
Who it's for
A broader audience than you might expect. If you're new to DAX and want to develop a solid foundation without wading through oversimplified examples, this book will serve you well. If you're already writing measures regularly but want to sharpen your approach to more complex calculations, there's plenty here that should challenge you.
It's aimed at analysts, Power BI developers, and data engineers - anyone who uses Power BI professionally and wants to get more out of it. No prior DAX experience is assumed at the start, though by the end you'll be working through material that most practitioners find genuinely demanding.
How it came together
This book came directly out of client work - the same techniques, approaches, and patterns used when building analytics solutions for real organisations. That's not a marketing claim; it's simply how it was written. When you're explaining why a particular measure is structured a certain way, it helps enormously to have actually used it in a situation where getting it wrong would have mattered.
The aim was to write the book that would have been useful earlier in a practitioner's career. Clear, practical, and honest about where things get complicated.
If you're working in Power BI and DAX is the part you want to strengthen, we think you'll find it worthwhile. Mastering DAX in Power BI: From Fundamentals to Advanced Analytics is available now on Amazon.