Overview
Microsoft Power BI Copilot adds natural-language report creation, data summaries, narrative visuals and DAX assistance to Power BI and Microsoft Fabric. It can accelerate analysis for governed datasets, but eligible capacity, tenant configuration, data quality and human validation remain substantial requirements.Best for
Business intelligence, governed self-service analytics, report creation, DAX assistance and narrative summaries inside Microsoft FabricPricing and availability
Copilot requires eligible paid Microsoft Fabric or Power BI capacity and administrator enablement; free and trial capacity may not qualify. Power BI licenses and Fabric capacity are priced separately.Platforms and integrations
Available through: web, windows, ios, android, api.Power BI connects to Microsoft Fabric, Excel, Teams, Azure and many third-party data sources. APIs, gateways and embedding options support governed analytics and application integration.
Privacy and security
Microsoft documents tenant-bound processing and says customer data is not used to train foundation models. Administrators must still enforce access, sensitivity labels, regional requirements and output review.Key strengths
- Natural-language assistance is embedded in established BI and Fabric workflows
- Report, summary and DAX features can speed common analysis tasks
- Microsoft governance and integration options suit enterprise data estates
Key limitations
- Eligible capacity and licensing can be expensive for smaller organizations
- Poor semantic models or data quality produce weak or misleading answers
- Many scenarios still require BI expertise and validation of generated DAX
Editorial note
CoinBotLab independently maintains this record using current provider documentation and independent sources. Features, pricing, availability and policies can change.- Best for
- Business intelligence, governed self-service analytics, report creation, DAX assistance and narrative summaries inside Microsoft Fabric
- Supported languages
- Copilot language support and quality vary by feature and region; semantic models, field names and business terminology strongly affect results