Mastering DAX in Power BI
From fundamentals to advanced analytics — learn to think in DAX.
Not another syntax reference. This is a hands-on, scenario-driven guide built from the kinds of problems I have actually had to solve in industry — written to teach you how to think in DAX, not just how to write it.
Built from real problems, not textbook theory
Over the years I have leaned on DAX to solve a wide range of business problems in Power BI — forecasting sales, calculating customer lifetime value, applying the Pareto principle to surface the products and customers that actually move the needle. These are the cases that matter in practice, and they are precisely the ones most learning resources skip, or explain in a way that never quite connects to real work.
That gap is what made me write the book. I wanted something different: a guide grounded in experience rather than abstraction, that takes the concepts apart on problems mirroring the decisions analysts and business people make every day. Each idea is introduced through realistic examples on the Adventure Works DW dataset — from time intelligence and dynamic filtering to building data models that stay fast and scalable as they grow.
It also carries a fair amount of what I reach for when building analytics for clients. The aim throughout is the same: not just to show how DAX works, but how to use it well — to translate a business question into a model that answers it honestly.
What it covers
Thinking in DAX
The mental model behind row and filter context — the part that turns DAX from guesswork into something you can reason about.
Time intelligence
Year-to-date, prior periods, moving comparisons — done properly, against a real date table.
Dynamic filtering
Measures that respond to context, with the patterns that keep them predictable.
Forecasting & CLV
Practical sales forecasting and customer lifetime value, worked end to end.
The Pareto principle
Finding the high-impact products and customers hiding inside the data.
Optimised data models
Building models that stay fast and scalable as the data and the questions grow.
Who this book is for
- Power BI developers and data engineers set on mastering DAX
- Business analysts who need to draw deeper insight from their data
- Anyone working with reporting, dashboards, or financial models
- Beginners with basic Power BI knowledge, ready to take on DAX
- Advanced users after real-world, performance-minded techniques
- Domain experts translating business logic into analytical models
Every example ships with its own Power BI Desktop (.pbix) file. The download link lives inside the book, so you can open the exact models and data used in each chapter and experiment as you read — learning by doing, not just reading.