Data Bear – Power BI Training and Consulting

Call us Today! (020) 8720 6880 |

2 Powerful Tips for Using Power BI’s RAND() and RAND.BETWEEN()

Funnel charts

Welcome to our latest blog post! Today, we’re diving into the world of Power BI, focusing on two intriguing functions: RAND() and RAND.BETWEEN(). These functions are the unsung heroes in the realm of data analysis, providing the versatility to generate random data for a variety of purposes, from testing to simulations. Join us as we unravel the mysteries of these functions, offering insights and practical tips to effectively integrate them into your Power BI toolkit.

Understanding the Basics

At their core, RAND() and RAND.BETWEEN() are DAX functions in Power BI that facilitate the generation of random numbers. Here’s a quick overview:

  • RAND() Function: Generates a random decimal number between 0 and 1. It’s parameter-free, meaning you simply use it as RAND(), and it provides a new random number every time your data or report refreshes.
  • RAND.BETWEEN() Function: Produces a random integer within a specified range, defined by the minimum and maximum values you input as parameters, like RAND.BETWEEN(min, max).

Practical Applications of RAND() and RAND.BETWEEN()

1. Creating Mock Data

Mock data generation is a primary application of these functions. For instance, in a project schedule report, you can use RAND.BETWEEN() to generate random end dates for tasks, ensuring they fall within a realistic timeframe after their start dates. This method proves invaluable for testing data models and visualizations without the need for actual data.

Creating Mock Data RAND() and RAND.BETWEEN()

2. Breaking Ties in Rankings

In Power BI reports, tiebreakers can be problematic when ranking data. The RAND() or RAND.BETWEEN() functions can introduce a slight variation, ensuring that items with equal rank are randomly ordered, thus effectively breaking the ties. This is particularly useful in scenarios like top N filters or rank calculations where unique ordering is necessary.Breaking Ties in Rankings RAND() and RAND.BETWEEN()


Implementing RAND() and RAND.BETWEEN() in Power BI

To utilize these functions, you don’t need extensive DAX knowledge. For RAND(), simply add a new column or measure in your data model and enter =RAND(). For RAND.BETWEEN(min, max), replace min and max with your desired numerical range.

Example: Setting Random End Dates

  1. In your Power BI report, navigate to the data view.
  2. Create a new column in your table, naming it as desired (e.g., “Random End Date”).
  3. Use the RAND.BETWEEN() function to set a range, like =RAND.BETWEEN(5, 10), to generate random end dates between 5 to 10 days from the start dates.

Considerations and Best Practices

  • Data Volatility: Remember that RAND() and RAND.BETWEEN() are volatile functions. Their output changes with each data refresh or interaction, which could impact dynamic reports or dashboards.
  • Performance Impact: Use random functions judiciously, especially in large datasets, as they can affect report performance due to their dynamic nature.


The RAND() and RAND.BETWEEN() functions in Power BI are powerful tools for data analysts and BI professionals. Whether you’re generating mock data for testing, breaking ties in rankings, or exploring other analytical scenarios, these functions offer flexibility and utility. By understanding their usage and implications, you can enhance your Power BI reports and drive more insightful data analysis.

In conclusion, the RAND() and RAND.BETWEEN() functions are essential tools in the Power BI arsenal, offering significant benefits for data manipulation and analysis. As we’ve explored their uses and practical implementations, it’s clear that these functions are not just for generating random numbers but are pivotal in creating more dynamic and robust data models and reports in Power BI.


Don’t forget to visit our training page to learn all you can about Power BI.  Also see our other blog posts page.

Leave a Comment

Your email address will not be published. Required fields are marked *