Unify self-service and enterprise BI

Find the data you need using prebuilt connectors for services like Dynamics 365, Azure Synapse Analytics, Salesforce, Excel, and SharePoint. Empower business analysts to ingest, transform, and enrich big data through self-service datamarts and Power Query experiences—no specialized skills needed. Prepare data once and then reuse it across Power BI models for efficiency and accuracy. Easily manage larger data volumes with increased model size limits and refresh rates.

Gain insight into utilization capacity drivers and trends with transparent metrics. Run analytics at peak performance by autoscaling capacity. Meet data residency needs by deploying in any region, including national clouds. Decide how users view and collaborate through dataset certification, flexible reporting, distribution formats, and embedding options. Consolidate governance, security, and management—across internal and external users—with a unified BI tool.

Access Power BI Premium capabilities the way that works for your business, either per user or per capacity. Extract insights from big data and easily share and collaborate on interactive data visualizations. Enable advanced workloads including paginated reports, advanced AI capabilities (such as AutoML, impact analysis, and Azure AI Services), dataflows, usage-based aggregated optimization, application lifecycle management, and enhanced automatic page refresh.

Quickly move content from development and testing to production with confidence using the simple visual cues in deployment pipelines. Rapidly deploy reports with improved consistency and performance without needing special DevOps skills or tools. Save time and improve accuracy by using repeatable content management processes while personalizing them to fit your organization.

Securely access, view, and share live Power BI dashboards and reports on any device, with native mobile Power BI apps for iOS, Android, and Windows. Easily annotate reports with any touchscreen to draw your team’s attention to important insights. Ask your data questions and use geographic location to filter your data according to where you are.