Power BI Premium Features Worth Using
Power BI
Power BI8 min read

Power BI Premium Features Worth Using

Maximize your Premium investment with these key capabilities.

By Administrator

Power BI Premium unlocks enterprise capabilities that significantly enhance your BI platform.

Key Premium Features

XMLA Endpoints Connect external tools: - Tabular Editor for modeling - DAX Studio for debugging - SQL Server Management Studio - Third-party tools

Deployment Pipelines Manage content lifecycle: - Dev, Test, Prod stages - Controlled promotions - Deployment rules

Paginated Reports Pixel-perfect reporting: - Multi-page documents - Print-ready formatting - Operational reports

Dataflows (Enhanced) Advanced data preparation: - Linked entities - Computed entities - Enhanced performance

Large Dataset Support Beyond 1GB limit: - Up to 400GB datasets - Large-scale analytics - Enterprise data volumes

AI Features

Copilot AI-powered assistance: - Natural language queries - DAX generation - Report creation

AutoML Automated machine learning: - Predictive models - No-code ML - Integrated predictions

Cognitive Services Built-in AI: - Sentiment analysis - Key phrase extraction - Image tagging

Collaboration Features

Apps Package and distribute: - Branded experiences - Simplified sharing - Update management

Goals Track metrics: - KPI monitoring - Status tracking - Alert notifications

Cost Optimization

Make the most of your investment: - Use autoscale options - Monitor capacity metrics - Schedule heavy jobs off-peak - Archive unused content

Frequently Asked Questions

Should I use Premium Per User or Premium capacity?

Premium Per User (PPU) works for smaller teams where everyone needs Premium features. Capacity-based Premium is better for larger organizations, external sharing, or when you need to share with users who only have free licenses.

What is the dataset size limit in Premium?

Premium capacity supports datasets up to 400GB (depending on SKU). Premium Per User supports datasets up to 100GB. Pro is limited to 1GB per dataset.

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