In this tutorial, I’m going to show you how I set up my models and the relationships in it. Creating a seamless flow around Power BI data transformation can greatly improve the report development process, and the way you set up your models is a primary contributor to this flow. To clearly portray my Power
Tag: Power BI Data Model
In this tutorial, you’ll learn about developing a data model for Power BI Retail Sites Dashboards. The methods discussed will help you harvest valuable insights easily from your report. From start to finish, you’ll see how amazing DAX formulas are in calculating and filtering results for you to harvest and gather. Arranging The Data Tables
In this tutorial, you’ll learn how to properly create and set up the data model for inventory management dashboards in Power BI. Before you start working on the DAX formulas and visualizations, make sure to check if your data model is correct. If it isn’t, your DAX formulas aren’t going to work and your visualizations
In this tutorial, we’ll discuss essential transformations within Power BI Query Editor that can be used to optimize your rows and columns. In developing an intuitive Power BI model, it’s best to simplify your rows and columns inside your table. Optimizing your table is essential in creating visualizations, so you can easily recognize your data.
In this tutorial, we’ll learn about evaluation context in DAX. Evaluation or initial context is the environment from which your dynamic calculation is based from. It’s important to understand how evaluation context works and how it affects your DAX calculation. So in the next section, I want to show you the different ways to create