RLS with multiple roles in Power BI - Dashboard Guide

Dashboard Mode - RLS with multiple roles

Dashboard Goal

This dashboard shows sales data filtered by user roles using Row-Level Security (RLS). It answers: "How do sales differ when users have different roles like Region Manager or Product Manager?"

Sample Data

OrderID	Region	Product	SalesAmount	SalesDate
1001	East	Bike	1200	2024-01-15
1002	West	Helmet	300	2024-01-20
1003	East	Helmet	450	2024-02-10
1004	North	Bike	700	2024-02-15
1005	West	Gloves	150	2024-03-05
1006	South	Bike	900	2024-03-10
1007	East	Gloves	200	2024-03-15

Dashboard Components

• KPI Card: Total Sales
  Formula: Total Sales = SUM(Sales[SalesAmount])
  Shows total sales amount visible to the user based on their role.
• Bar Chart: Sales by Region
  Shows sales amount per region filtered by RLS.
  X-axis: Region
  Y-axis: Total Sales
• Bar Chart: Sales by Product
  Shows sales amount per product filtered by RLS.
  X-axis: Product
  Y-axis: Total Sales
• Table: Detailed Sales
  Shows OrderID, Region, Product, SalesAmount, SalesDate filtered by RLS.

RLS Roles Setup

Two roles defined in Power BI Desktop:

• Region Manager Role: Filter Sales[Region] to allowed regions (e.g., East, West)
• Product Manager Role: Filter Sales[Product] to allowed products (e.g., Bike, Helmet)

Users can belong to one or both roles. The effective filter is the intersection of all roles assigned.

Dashboard Layout

+----------------------+----------------------+
|      Total Sales      |   Sales by Region    |
|       (KPI Card)      |     (Bar Chart)      |
+----------------------+----------------------+
|    Sales by Product   |    Detailed Sales    |
|      (Bar Chart)      |       (Table)        |
+----------------------+----------------------+

Interactivity

Filters and slicers are controlled by RLS roles, so users only see data allowed by their roles.

• When a user logs in, Power BI applies RLS filters automatically.
• The Total Sales KPI, charts, and table update to show only allowed data.
• No manual slicers needed for region or product filtering because RLS handles it.

Self Check

If a user belongs to the Region Manager Role for East and the Product Manager Role for Bike, which sales records will they see?

• Only sales where Region = 'East' AND Product = 'Bike'.
• From the sample data, that is OrderID 1001 with SalesAmount 1200.
• All dashboard components will update to show this filtered data.

Key Result

Sales dashboard demonstrating Row-Level Security filtering by multiple roles (Region Manager and Product Manager) showing filtered total sales, sales by region, sales by product, and detailed sales data.

Practice

1. What does RLS with multiple roles in Power BI allow you to do?

easy

A. Control data access by assigning users to one or more roles

B. Create multiple dashboards for different users

C. Automatically refresh data at different times

D. Change the data source connection dynamically

Solution

1. Step 1: Understand RLS purpose

   RLS (Row-Level Security) controls which data a user can see based on roles.

2. Step 2: Recognize multiple roles effect

   Assigning multiple roles means a user sees data allowed by any of those roles (combined access).

3. Final Answer:

   Control data access by assigning users to one or more roles -> Option A

4. Quick Check:

   RLS multiple roles = combined data access [OK]

Hint: RLS controls data visibility by roles combined with OR logic [OK]

Common Mistakes:

• Confusing RLS with dashboard creation
• Thinking RLS changes data refresh
• Believing RLS changes data source

2. Which of the following is the correct way to define a role filter in Power BI Desktop for multiple roles?

easy

A. Assign users directly in Power BI Desktop without roles

B. Use DAX filter expressions for each role separately under 'Manage Roles'

C. Write SQL queries inside Power BI Desktop to filter roles

D. Create a single role and assign all users to it

Solution

1. Step 1: Understand role creation in Power BI Desktop

   Roles are created by defining DAX filter expressions under 'Manage Roles'.

2. Step 2: Recognize multiple roles setup

   Each role has its own filter; multiple roles mean multiple filters defined separately.

3. Final Answer:

   Use DAX filter expressions for each role separately under 'Manage Roles' -> Option B

4. Quick Check:

   Role filters use DAX expressions in 'Manage Roles' [OK]

Hint: Define each role filter with DAX in 'Manage Roles' [OK]

Common Mistakes:

• Trying to use SQL queries inside Power BI Desktop
• Assigning users directly without roles
• Using only one role for all users

3. Given two roles in Power BI: RoleA filters 'Region' = "East" and RoleB filters 'Sales' > 1000. If a user is assigned both roles, what data will they see?

medium

A. Data where Sales > 1000 but Region can be any value

B. Only data where Region = "East" AND Sales > 1000

C. Data where Region = "East" but Sales can be any value

D. Data where Region = "East" OR Sales > 1000

Solution

1. Step 1: Understand multiple roles filter logic

   When a user has multiple roles, Power BI combines filters with OR logic, not AND.

2. Step 2: Apply OR logic to given roles

   User sees data where Region = "East" OR Sales > 1000, meaning either condition allows data visibility.

3. Final Answer:

   Data where Region = "East" OR Sales > 1000 -> Option D

4. Quick Check:

   Multiple roles combine filters with OR [OK]

Hint: Multiple roles combine filters with OR, not AND [OK]

Common Mistakes:

• Assuming filters combine with AND logic
• Confusing role assignment with user permissions
• Thinking roles restrict data more strictly

4. You created two roles with filters but users assigned to both roles see all data. What is the most likely cause?

medium

A. Users were not assigned to roles in Power BI Service

B. Roles were created but not saved in Power BI Desktop

C. Data source connection is broken

D. Filters use AND logic instead of OR, causing no matching data

Solution

1. Step 1: Check user assignment to roles

   Even if roles exist, users must be assigned in Power BI Service to see filtered data.

2. Step 2: Understand effect of missing assignment

   If users are not assigned, RLS filters do not apply, resulting in all data visible.

3. Final Answer:

   Users were not assigned to roles in Power BI Service -> Option A

4. Quick Check:

   User assignment in service is required for RLS [OK]

Hint: Assign users to roles in Power BI Service to enable RLS [OK]

Common Mistakes:

• Assuming filters combine with AND logic
• Ignoring user assignment step
• Blaming data source connection first

5. You have three roles: Role1 filters 'Country' = "USA", Role2 filters 'Product' = "A", Role3 filters 'Year' = 2023. A user is assigned Role1 and Role3. Which DAX expression correctly represents the combined filter effect for this user?

hard

A. FILTER(Table, Table[Country] = "USA" && Table[Product] = "A" && Table[Year] = 2023)

B. FILTER(Table, Table[Country] = "USA" && Table[Year] = 2023)

C. FILTER(Table, Table[Country] = "USA" || Table[Year] = 2023)

D. FILTER(Table, Table[Product] = "A" || Table[Year] = 2023)

Solution

1. Step 1: Understand role filter combination logic

   When a user has multiple roles, Power BI combines filters with OR logic, so data matching any role filter is visible.

2. Step 2: Apply OR logic to Role1 and Role3 filters

   The combined filter is where Country = "USA" OR Year = 2023, ignoring Role2 since user is not assigned to it.

3. Final Answer:

   FILTER(Table, Table[Country] = "USA" || Table[Year] = 2023) -> Option C

4. Quick Check:

   Multiple roles combine filters with OR [OK]

Hint: Combine multiple role filters with OR in DAX [OK]

Common Mistakes:

• Using AND instead of OR to combine filters
• Including filters from roles not assigned to user
• Confusing role filters with user permissions