How to Use Power BI Copilot for Data Analysis

What Power BI Copilot Does

Power BI Copilot is an AI assistant embedded in Microsoft's business intelligence platform. It lets users describe what they want to see in plain English and get back a fully configured chart, calculated measure, or written narrative without touching any formulas or a drag-and-drop canvas.

The feature set as of April 2026 covers three main areas: report generation, DAX assistance, and narrative summaries. Each runs on Azure OpenAI and is subject to your organization's data residency settings. In the April 2026 update, Microsoft added conversational Copilot to the Power BI Mobile app, extending AI-powered report interaction to iOS and Android devices.

Prerequisites: What You Need Before Starting

Copilot requires organizational capacity, not just a personal license. Specifically:

Your workspace must be assigned to a paid Fabric capacity (F2 or higher) or Power BI Premium capacity (P1 or higher). Trial SKUs and trial capacities do not support Copilot. A Power BI Pro or Premium Per User (PPU) license alone is not sufficient.

Your Fabric admin must enable Copilot in the Admin portal under "Users can use Copilot and other features powered by Azure OpenAI." The setting is off by default.

Your organization must authenticate through Microsoft Entra ID (formerly Azure AD). Personal Microsoft accounts are not supported.

If your Fabric capacity is outside the United States or France, you also need the tenant-level setting "Data sent to Azure OpenAI can be processed outside your tenant's geographic region" to be enabled.

These requirements trip up most first-time users. If you open Power BI and do not see the Copilot icon in the report ribbon, the most likely cause is that your workspace is not on a qualifying capacity, or the admin toggle is off.

Step 1: Enable Copilot in the Fabric Admin Portal

Sign in to app.fabric.microsoft.com with a Fabric administrator account. Navigate to the Admin portal, then select Tenant settings. Find the section labeled "Copilot and Azure OpenAI Service" and expand it.

Toggle "Users can use Copilot and other features powered by Azure OpenAI" to Enabled. Under "Applies to," choose whether to enable it for the entire organization or specific security groups. Save your settings. Changes propagate within a few minutes.

If you are not the Fabric admin, share this section with whoever manages your Microsoft 365 or Azure environment. The setup takes under five minutes on their end.

Step 2: Assign a Qualifying Capacity to Your Workspace

If your workspace is already on Fabric or Premium capacity, skip this step.

Go to app.powerbi.com and open Workspace settings for the workspace where your reports live. Under the Premium tab, select your Fabric or Premium capacity from the dropdown. If no qualifying capacity appears, you will need to provision one through the Azure portal or contact your Microsoft account team.

Step 3: Open a Report and Start the Copilot Pane

Open any existing report in Power BI Service or create a new one from a dataset. Enter Edit mode by clicking the Edit button in the top toolbar.

In the ribbon, click the Copilot icon, which appears on the right side of the ribbon when Copilot is enabled on the workspace. The Copilot pane opens on the right side of the canvas. You will see two options: "Suggest content for this report," which has Copilot scan your data model and propose relevant pages, or a free-text prompt box where you type what you want.

Step 4: Generate a Report Page with a Natural Language Prompt

Type a plain English description of the report you want. Be specific about the metrics, dimensions, and time frame.

For example: "Create a summary page showing total sales by product category for the last 12 months, with a monthly trend line and top 5 customers by revenue."

Copilot reads your data model, selects relevant columns, and builds the page. In published benchmarks, a prompt like this generates a completed page in under 30 seconds, including a bar chart, line chart, and a summary table.

Review what Copilot built. You can refine it with follow-up prompts: "Add a slicer for region" or "Change the bar chart to show only the top 10 categories." Each follow-up adjusts the existing page without replacing it. Prompt specificity matters more than length: naming the exact measure ("Total Sales Amount" rather than "sales") improves accuracy.

Step 5: Use the Narrative Visual for Text Summaries

The Narrative visual adds an auto-generated text block to any report page that summarizes key findings in plain language. As of January 2026, users with a Copilot license have the Narrative visual default to Copilot mode, with a 10,000-character limit for detailed summaries.

To add it, go to the Visualizations pane and select the Narrative visual. Copilot generates a paragraph that describes the main trends on the page, for example: "Revenue grew 14% year-over-year. The Western region drove the largest increase at 22%, while the Northeast declined 3%. Q4 accounted for 38% of annual revenue."

The narrative updates automatically when filters or slicers change, making it useful for dashboards where different viewers apply different filters.

Step 6: Use DAX Copilot for Formula Help

If you work in Power BI Desktop and need calculated columns or measures, DAX Copilot speeds up formula writing. Select a table in the data model, then open the Copilot pane and describe what you want to calculate.

Example prompt: "Create a measure that calculates the rolling 3-month average of Sales Amount, partitioned by Product Category."

Copilot generates the DAX expression with a brief explanation of the logic. You can paste it directly into a measure. This is particularly useful for analysts who understand the business logic but not DAX syntax, or for anyone who regularly spends time debugging CALCULATE and FILTER combinations.

Step 7: Use Copilot on Mobile

The April 2026 Power BI update added conversational Copilot to the Power BI Mobile app on iOS and Android. Open any report with the mobile app, tap the Copilot icon, and type a question about the data on screen. Every answer includes citations back to the specific visuals Copilot used to construct its response.

This is useful for reviewing dashboards in meetings or between sessions without needing a laptop. You can ask questions like "What drove the spike in returns last week?" and get a contextual answer in seconds.

What Copilot Does Not Do

Copilot does not query live databases directly. It works from the data already loaded into your Power BI dataset. If your dataset is stale, the responses will reflect stale data.

It also does not perform statistical modeling, predictive forecasting, or cohort analysis out of the box. For exploratory analysis where you want to upload a raw file and run open-ended statistical queries from scratch, a dedicated data analysis tool handles those workflows more flexibly. VSLZ, for example, lets you upload a CSV or Excel file and ask statistical questions in plain English without needing to build a data model first.

Copilot outputs also need human review. It picks columns based on name matching and semantic inference, and it occasionally selects the wrong measure. Treat generated visuals as a starting point and verify the underlying data before sharing reports with stakeholders.

Prompting Tips That Improve Results

Specify time ranges explicitly. "Last 12 months" works better than "recent."

Use the exact column or measure names from your dataset when possible. If your dataset has a measure called "Gross Margin %" and you ask for "profit margin," Copilot may pick the wrong field.

Separate chart requests from filter requests. "Show sales by region" followed by a second prompt "filter to exclude returns" gives more accurate results than combining both in one instruction.

If Copilot generates the wrong chart type, say so directly: "Change the pie chart to a bar chart sorted by value descending." Copilot handles revision instructions well.

Getting the Most from Power BI Copilot

Power BI Copilot accelerates the part of reporting that takes the most time: wiring together charts, writing summaries, and building calculated fields. Analysts at organizations using Fabric capacity report spending 30 to 40 percent less time on initial report builds after enabling Copilot, according to published Microsoft case studies.

The practical limit is the data model. Copilot is only as useful as the dataset it works from. Clean column names, documented measures, and up-to-date data refreshes matter more than prompt quality. Invest in model hygiene first, and Copilot becomes a genuine productivity multiplier on that foundation.