Microsoft Fabric brings together data engineering, analytics, and business intelligence into a single, unified platform. One of its most powerful features is the seamless integration of Power BI, which allows you to move effortlessly from raw data to meaningful insights.

In this article, I’ll walk through how to create a Power BI Dashboard from an existing Power BI Report in Microsoft Fabric, why dashboards still matter, and best practices for designing them effectively.

Power BI Reports vs Dashboards in Microsoft Fabric

Before jumping into the steps, it’s important to understand the difference.

Power BI Report

Power BI Dashboard

In Microsoft Fabric, reports and dashboards coexist in the same workspace, making it easy to move from detailed analysis to executive-level monitoring.

Prerequisites

To create a dashboard from a Power BI report in Microsoft Fabric, you need:

Step-by-Step: Creating a Dashboard from a Power BI Report

In the cornerstone_wks workspace as seen below, I've got Sales and HR Dashboard Power BI Reports.

1

To create a dashboard from both reports,

2

Click Go to Dashboard. As can been seen below, the Donut Visual is now pinned to the dashboard

3

Next, in the HR Dashboard Report, pin the Sum of Salary by Department clustered Bar Chart visual

Click Go to Dashboard. As can been seen below, the clustered by chart is pinned to the dashboard

4

We can apply needed customization to the dashboard such as dashboard theme, adding of media content such as image, text box, video, web content etc. The dashboard is ready to be shared within the organization. It can be shared in MS Teams chat

Final Thoughts

Creating dashboards from Power BI reports in Microsoft Fabric is simple, powerful, and highly effective for delivering business value. With just a few clicks, you can turn detailed analytical reports into high-level, actionable insights that decision-makers can consume instantly.

Microsoft Fabric’s unified experience ensures that your dashboards stay connected, secure, and always up to date—making them a critical part of any modern data platform.