Modern data analysts look for ways to accelerate their report development workflows. For example, writing long DAX code or drafting summary notes manually consumes valuable project hours.
Fortunately, Microsoft Power BI integrates Copilot AI directly into its interface. Because this intelligent assistant understands natural language commands, you can generate metrics and narrative summaries instantly. Consequently, you can build production-ready dashboards much faster. Let us explore how to use these AI capabilities step-by-step.
Step 1: Enable Copilot in Your Cloud Tenant
First, you must activate the AI features. Therefore, log into your Power BI cloud admin service portal.
Navigate straight to the tenant settings dashboard page. Scroll down to find the Copilot and Azure OpenAI settings section.
Toggle the activation switch to Enabled. Because Copilot requires a Premium capacity or Fabric capacity allocation, ensure your workspace is assigned correctly. Click Apply. Consequently, the AI assistant panel will become visible across your workspace canvas.
Step 2: Generate DAX Measures with Natural Language
Next, you can use the AI engine to write calculations. Therefore, switch over to your Power BI Desktop workspace.
Open the Quick measure panel on your data modeling tab. Select Suggestions with Copilot from the available calculation options.
Type a plain English request into the prompt text box. For instance, type: Show total sales for the current year compared to the previous year. Click Generate. Consequently, Copilot creates the complex time-intelligence DAX code instantly. Click Add to insert it into your model.
Step 3: Add the Smart Narrative AI Visual
Now, you can automate your executive summary writing. Therefore, navigate back to your main reporting canvas page.
Open your visual choices pane and select the Smart Narrative chart icon. Click to place it on your workspace.
Because Copilot analyzes all charts on your screen automatically, it drafts a text summary of your business trends within seconds. For example, it highlights your highest sales month and alerts you to sudden margin drops. Consequently, you save time on manual data interpretation.
Step 4: Ask Copilot to Build New Report Pages
Finally, you can ask the AI to design entire dashboard layouts. Fortunately, this step takes only a simple chat prompt.
Open the Copilot chat pane inside the online Power BI Service. Type a clear layout command into the bar.
For example, type: Create a new page showing a competitive analysis of our product sales over time. Press Enter. Consequently, Copilot adds a clean page with relevant charts to your active report. Therefore, you can confirm that your AI assistant works perfectly.
Compare AI Features vs Manual Development
| Report Development Step | Traditional Manual Workflow | Accelerated Copilot Workflow |
| Writing Complex DAX | High effort (Requires troubleshooting syntax bugs). | Low effort (Generates accurate formulas via text prompts). |
| Drafting Executive Summaries | Slow (Requires reading charts and typing descriptions). | Instant (Analyzes visual trends and outputs text updates). |
Master Artificial Intelligence Tools in Hyderabad
Utilizing Copilot AI inside business intelligence workflows requires strategic guidance. Because prompting engines require clear data structures to work accurately, understanding solid data modeling remains your foundation.
Therefore, join a power bi training hyderabad academy. For instance, local institutes offer hands-on labs featuring the latest Microsoft Fabric and Copilot tools.
Practicing under certified corporate mentors ensures success. Consequently, this cutting-edge preparation helps you stand out. You will clear advanced technical screening rounds easily.