Why Dynamic RLS with USERNAME in Power BI? - Purpose & Use Cases

The Big Idea

What if one report could magically show only your data, no matter who you are?

The Scenario

Imagine you have a sales report shared with your entire company. You want each salesperson to see only their own sales data. Without automation, you must create separate reports or filters for every single user.

The Problem

Manually setting filters for each user is slow and error-prone. When new employees join or roles change, you must update filters everywhere. This wastes time and risks exposing sensitive data by mistake.

The Solution

Dynamic Row-Level Security (RLS) with USERNAME() automatically filters data based on who is logged in. It uses the user's login to show only their relevant data, so you create one report that adapts for everyone.

Before vs After

✗ Before

Filter sales where Salesperson = 'JohnDoe'
Filter sales where Salesperson = 'JaneSmith'

✓ After

Filter sales where Salesperson = USERNAME()

What It Enables

Dynamic RLS with USERNAME() lets you securely share one report that customizes itself for each user automatically.

Real Life Example

A company dashboard shows each regional manager only their region's sales without needing multiple reports or manual updates.

Key Takeaways

Manual filtering for each user is slow and risky.

Dynamic RLS with USERNAME() automates data filtering based on login.

This saves time and protects sensitive data effortlessly.