Through the example in this tutorial, you will see how powerful Power BI can be as an analytical tool. We will analyze a specific insight using Power BI analytics and then demonstrate it in a compelling way. This analytical work is seriously not possible in any way, shape, or form using existing tools like Excel.
In this tutorial, I’ll take you through an outlier detection analysis, detecting and visualizing outlier results. Your data doesn’t even need to be unique or customized. The great thing is that you can do this on basically any data set. I’m going to show you just how amazing Power BI is as an analytical tool.
Calculating the difference between weekly sales results in Power BI is unfortunately not that easy. The reason behind this is that Power BI doesn’t have a weekly-based built-in time intelligence function. The only available options are for the day, month, quarter, and year. I’ll show you with the DATEADD function in this formula. This function
I want to show you some data visualization techniques in Power BI to create a compelling dashboard. If you’re a business that sells something, you definitely want to showcase your sales performance really effectively. In this tutorial, I work through many different techniques that you can throw together within Power BI to extract really high
I wanted to highlight in this post some of my best practice tips for Power BI data modelling. In this tutorial, I go through many techniques in detail which I think you’ll find very beneficial as soon as you start implementing these into your reports. You’ll find that as you work through any development, certain
