Creating narrative visuals with Copilot in Power BI represents a powerful feature that transforms how analysts communicate insights from their data. Copilot leverages artificial intelligence to automatically generate text-based summaries and explanations of your visualizations, making reports more …Creating narrative visuals with Copilot in Power BI represents a powerful feature that transforms how analysts communicate insights from their data. Copilot leverages artificial intelligence to automatically generate text-based summaries and explanations of your visualizations, making reports more accessible and understandable for all stakeholders.
To create narrative visuals with Copilot, you first need to ensure your Power BI environment has Copilot enabled and that you have the appropriate licensing. Once configured, you can add a narrative visual to your report canvas by selecting it from the visualizations pane.
When you add a narrative visual, Copilot analyzes the data present on your report page and generates meaningful textual descriptions. This AI-powered feature examines trends, patterns, outliers, and key metrics within your datasets to produce coherent summaries. The generated narratives can describe what the data shows, highlight significant changes over time, or call attention to notable values.
You can customize the narrative visual by providing prompts to Copilot, guiding it toward specific aspects of your data you want emphasized. For example, you might ask Copilot to focus on sales performance by region or to summarize quarterly growth patterns. This flexibility allows you to tailor the narrative output to match your reporting objectives.
The narrative visual updates dynamically as your underlying data changes, ensuring that the textual summaries remain accurate and relevant. When filters are applied or data refreshes occur, the narrative adjusts accordingly to reflect the current state of your information.
Best practices include reviewing generated narratives for accuracy, positioning them strategically alongside related charts and graphs, and using them to provide context that helps viewers understand complex visualizations. Narrative visuals bridge the gap between raw data and actionable insights, making your Power BI reports more impactful and easier to interpret for diverse audiences across your organization.
Create Narrative Visuals with Copilot - Complete Guide
Why It Is Important
Narrative visuals with Copilot represent a significant advancement in how business users consume and understand data. These AI-generated summaries transform complex datasets into plain-language explanations, making insights accessible to stakeholders who may not be data-savvy. For the PL-300 exam, understanding this feature demonstrates your ability to leverage modern AI capabilities within Power BI to enhance report usability and storytelling.
What Are Narrative Visuals with Copilot?
Narrative visuals with Copilot are AI-powered text summaries that automatically describe the key insights, trends, and patterns found in your Power BI reports. Unlike static text boxes, these narratives dynamically update based on the data context, filters, and selections made by users. Copilot analyzes the visuals on your report page and generates human-readable explanations that help users understand what the data is telling them.
Key Features: - Automatic generation of data summaries - Dynamic updates based on filter context - Natural language descriptions of trends and outliers - Customizable prompts to focus on specific aspects - Integration with existing report visuals
How It Works
Step 1: Prerequisites - Copilot must be enabled in your Power BI tenant by an administrator - You need a Power BI Pro or Premium Per User license - The semantic model must be hosted in a supported region - Data must be stored in OneLake or imported models
Step 2: Adding a Narrative Visual - Open your report in Power BI Desktop or Service - Navigate to the Visualizations pane - Select the Narrative visual with Copilot icon - Place and resize the visual on your canvas
Step 3: Configuring the Narrative - Copilot automatically summarizes visuals on the current page - You can provide custom prompts to guide the narrative focus - Adjust settings to reference specific visuals or data points - Review and edit the generated text as needed
Step 4: Customization Options - Define specific questions for Copilot to answer - Choose which visuals to include in the summary - Set the tone and detail level of the narrative - Add manual text alongside AI-generated content
Exam Tips: Answering Questions on Create Narrative Visuals with Copilot
Tip 1: Know the Prerequisites Exam questions often test whether you understand the requirements for using Copilot. Remember that tenant-level settings must be configured by administrators, and specific licensing is required.
Tip 2: Understand Dynamic Behavior Narrative visuals update when filters change. Questions may ask about how the narrative responds to user interactions or cross-filtering from other visuals.
Tip 3: Recognize Limitations Be aware that Copilot narratives work best with data models that have clear relationships and descriptive field names. Complex calculations may not be summarized accurately.
Tip 4: Differentiate from Smart Narrative Know the difference between the older Smart Narrative visual and the newer Copilot-powered narrative. Copilot offers more advanced AI capabilities and customization through prompts.
Tip 5: Focus on Use Cases Questions may present scenarios asking when narrative visuals are appropriate. They excel at executive summaries, providing context for dashboards, and explaining trends to non-technical audiences.
Tip 6: Security Considerations Understand that Copilot respects row-level security. The generated narrative only includes information the user has permission to see.
Common Exam Scenarios
- Identifying the correct steps to enable Copilot features - Selecting appropriate visuals to complement narrative summaries - Troubleshooting when narratives do not appear or update - Choosing between manual text and AI-generated narratives based on requirements