It makes sense to wonder why learning DAX is essential for effectively using Power BI. As we've seen in previous tutorials, creating reports using Power BI's data import, transformation, and visualization features is a simple process. To create a good report with all the available data, a user must have a working knowledge of Power BI Desktop. But you need DAX if you want to advance and use sophisticated calculations in your Power BI reports.
Let's say you need to compare year-over-year growth or sales or you want to create a visual to analyze growth percentages across various states in a nation. In most cases, the data fields that you import in a data table are insufficient to be used for such purposes.
You must use the DAX language to create new measures for this. By doing this, you can develop new metrics, employ them in the development of unique data visualizations, and gain novel insights into the data. You can have appropriate solutions for business problems that you might overlook with the standard method of analysis when you have such unique insights into the data. As a result, DAX makes using Power BI for data analysis a clever and clever move.