In this tutorial, I’d like to demonstrate how you can create logistics reporting apps in Power BI using real-world data. I want to show the extensivity of what you can do in Power BI and its great capabilities. You can watch the full video of this tutorial at the bottom of this blog. We’ll go
Power BI is already a powerful analytical tool as it is. But when you use Python for Power BI, that power is amplified even further, unlocking a whole new world of capabilities and possibilities. One thing that stops data professionals from diving into Python is the fear of getting lost in the middle of it,
In this tutorial, you’ll learn about the Power Query Language Flow and some of its best practices. You’ll also learn how to transform your data easily to get the best possible results. Data transformations will optimize your report and make it look compelling. Set Data Types With No Power Query Language Flow The bare minimum
For today, I’ll talk about financial reporting. I want to show you how to create customized tables for your Power BI financial dashboard report. The ability to customize your tables inside of Power BI will give you immense flexibility when creating reporting applications. In this particular example, we’re talking about financial reporting, but this technique
In this tutorial, we’ll discuss another control action that we can use in our Microsoft flows. There are triggers that can immediately start a flow based on an event such as when there’s a new email or tweet. These triggers are great, but there are flows that we’d also want to run through a loop,
