Have you ever thought it would be nice to work out what the most optimal outcome is from your scenario analysis work that you’re doing inside of Power BI? In this tutorial, I show you exactly how you can discover this and also include sensitivity analysis techniques to your what-if parameter and scenario analysis work.
In this tutorial, I’m going to show you how showcasing clusters in your data enables you to extract far superior insights than if you just had a scatter chart with a whole lot of information planted in there. I’m going to go through some advanced DAX techniques that you need to utilize in combination with
I have found out that most people get confused in regards to understanding how DAX works in row context. This is because row context can be quite complicated and unnecessarily so. So we’re going to touch on row context throughout this article. The way I think about row context is through iterations or iterating functions.
Filter context is one of the major topics that any Power BI user should initially learn about, especially if you want your DAX calculations to work effectively. In this article, I will run through the filter context. Every DAX formula is calculated in a two-step process. DAX Formula: A Two-Step Process The first step is
In this blog, I showcase ranking DAX measures to analyse something really practical and get amazing insights inside Power BI. It’s to work out the total sales of my top 3 salespeople based in any region. A really interesting insight, right? It might seem relatively intuitive, but actually implementing this inside of Power BI is
