For this tutorial, I’ll be showing you how to combine multiple DAX patterns in Power BI. This strategy is one of the many applications of measure branching and is an effective way of producing high-quality reports. When your goal is to analyze trends over time, sticking to basic formulas may not always give you valuable
I’m going to go over a unique piece of analysis here concerning Power BI Inventory Management. This idea came from a query on the Enterprise DNA support forum. The member wanted to work out how many days there were when the inventory was at zero. This is going to be based on stock movement data.
I’m going to go through an interesting scenario that you’ll probably land on when you’re trying to run a Cumulative Total inside of Power BI. A member from the Enterprise DNA support forum posted this query. The member wanted to calculate a running balance like a Cumulative Total. The problem was every time a selection
The Power BI running total is the perfect way to display patterns and changes on a specified data over time. In Power BI, there is a common combination of DAX functions that allow us to create a dynamic cumulative total on any report page. The DAX formula that we’re about to discuss is easy to
Recently, I built and showed a Budgeting Analysis Dashboard in one of Enterprise DNA’s workshop. One feature of that Dashboard is the Cumulative Budget view. The webinar is linked here. The dashboard itself is dynamic so I can change the time frame and select the products I want to track. This makes exploring the data
