Importance of DAX in PowerBI

KC Mahendra

KC Mahendra

17 July 2023 - -1 min read

One of the key advantages of using DAX in Power BI is its ability to handle large amounts of data and complex calculations. DAX provides a wide range of functions for statistical analysis, time intelligence, and filtering. With DAX, you can create measures, calculated columns, and calculated tables to enrich your data model.

Implementing DAX Functions in Power BI will provide you with the following benefits:

  • DAX library enables you to use many advanced Power BI features. For instance, with DAX, you can manipulate your data dynamically by using select, join, filter, and many more commands. This way users can give input to your Power BI dashboard and it will dynamically generate data including Calculated Columns, Tables, and Measures.
  • Using DAX, you can make your Power BI Dashboards smarter. This is possible by using Calculated Columns and Measures in Power BI to constrain the data that your Dashboard will fetch and visualize. A well-written DAX expression can decrease your latency and complete data processing using limited resources.
  • DAX operates on a system of nested filter contexts that work to optimize performance. Therefore, working with DAX Functions will shape your thinking pattern when it comes to tables and filtering data. This implies, that your experience with DAX will enhance your thinking and you will find better solutions to merge, filter, and manipulate your data in Power BI and other tools.

Top DAX Functions for Power BI:

  • DAX Functions for Power BI: Date and Time Functions
  • DAX Functions for Power BI: Information Functions
  • DAX Functions for Power BI: Logical Functions
  • DAX Functions for Power BI: Mathematical & Trigonometric Functions
  • DAX Functions for Power BI: Parent & Child Functions
  • DAX Functions for Power BI: Statistical Functions
  • DAX Functions for Power BI: Text Functions
  • DAX Functions for Power BI: Other Functions

Let us see a simple example of how the DAX Function works:

Let's say you have a dataset that contains sales data for a company, and you want to calculate the total sales revenue for a particular period. You can use DAX to create a measure that calculates the sum of sales for that period.

To do this, you would follow these steps:

  1. Open Power BI Desktop and load your data into the report.
  2. Click on the "New measure" button in the "Fields" pane.
  3. In the formula bar, enter the following DAX formula to calculate the total sales revenue:
  4. Total Sales Revenue = SUM (Sales [Sales Amount])
  5. This formula uses the SUM function to add up the sales amounts from the "Sales" table.
  6. Press "Enter" to create the measure.
  7. Drag the "Total Sales Revenue" measure into a visual, such as a table or a chart.
  8. Filter the visual by the desired period, such as a particular month or year.
  9. The visual will now display the total sales revenue for the selected period.


DAX is a powerful tool for data analysis in Power BI, and it is important to have a good understanding of its functions and capabilities. By leveraging the available resources and tools, you can improve your DAX skills and build more effective data models in Power BI. DAX in Power BI allows the designer to create complex measures and improve the visualizations. The Applied DAX with Power BI has a variety of functions that can be used to execute DAX queries on the Power BI Desktop.

about the author

Full stack developer having 4 years of industrial experience in designing, development and maintenance of web apps based on Django-Python platforms.worked with different types of relational database(RDBMS) like: Sqlite,mysql,oracle