March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Copilot in Power BI enhances report creation and data analysis by suggesting relevant topics and generating report outlines based on your data. It assists in building report pages by identifying key tables, fields, and charts, and allows for easy customization. Additionally, Copilot improves data insights by leveraging your semantic model to answer queries and explore data. It also simplifies DAX formulation by generating queries based on user prompts, streamlining complex analytics tasks.
- Required Capacity: A licensed Fabric capacity (F64 or above) or a Power BI Premium capacity (P1 or greater) is necessary.
- Admin Enablement: Your system administrator must activate Copilot within Microsoft Fabric.
- Default Configuration: By default, Copilot is not activated for tenants or capacities located outside the United States or France.
- Activating Copilot: With administrator approval, data transmitted to Azure OpenAI can be processed beyond the predefined regions, thus enabling Copilot.
- Unsupported SKUs: Only licensed SKUs (F64 or higher, or P1 or greater) are compatible; trial SKUs are not supported.
- Q&A Requirement: The Q&A feature must be activated within the semantic model’s dataset settings for Copilot to function.
- Workspace Access:
- At a minimum, you need Read access to the workspace or appropriate permissions to the app to generate insights.
- Write access to the workspace or app permissions is required to create insights and reports.
- Unified solution combining data lakes and data warehouses
- Provides agility, scalability, structured analytics, and real-time performance
- Define and clearly state all relationships between tables
- One-to-many
- Many-to-one
- Many-to-many
- Ensure logical and accurate relationship types
- Establish clear hierarchies for dimension tables
- Facilitate drill-down in reports
- Use unambiguous and self-explanatory column names
- Apply correct and consistent data types across all tables
- Define security roles for different levels of data access
- Protect sensitive elements from unauthorized users
- Standardize and clarify calculation logic for measures
- Use clear naming conventions reflecting calculations and purposes
- Clearly define fact tables containing measurable, quantitative data
- Define dimension tables with descriptive attributes related to fact tables
- Examples: "Customer_Information", "Product_Details"
- Azure OpenAI Service managed by Microsoft secured by enterprise grade security.
- Data is not used for model training or shared with other customers
- Data processing within Fabric remains in your tenant’s geographic region
- Option to permit data processing outside your region lies with customer
NO data not even related to prompt is retained.
Limitations of an On-Premise Solution with Copilot
- Copilot cannot create report pages if implicit measures are disabled in your semantic model.
- Copilot cannot modify visuals after generation.
- Copilot cannot add filters or set slicers based on prompt specifications (e.g., interpreting "30 days" as a date filter).
- Copilot struggles with understanding and processing complex prompts (e.g., multi-dimensional reports).
- Best performance is in English; other languages may have lower performance.
- Extensive data points may lead to truncated responses.
- Accuracy may be limited in the public preview.
- Copilot summary pane does not return new visuals as data answers; Data Q&A capabilities require enabling the preview switch.
Have you tried Copilot in Power BI? Share your experiences in the comments below! If you found this article helpful, don’t forget to give it a clap and share it with your network.
For more insights on coding tips, tech and AI updates, and collaboration opportunities, follow me on Twitter or visit my LinkedIn profile.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.