Imagine a smart layer on top of Power BI reports that automatically analyzes user interactions and underlying data to surface real-time insights, anomalies, and suggestions.
🔍 How it works:
- Tracks user behavior (filters, selections, navigation)
- Scans semantic models and datasets for trends, outliers, and correlations
- Displays contextual insights like:
“Sales dropped 12% this quarter while promo spend remained flat. Consider exploring Segment A.”
💬 Users can also ask natural language questions like “Why did this drop happen?” and get Copilot-powered answers.
Why it’s epic:
- Transforms Power BI from a static dashboard into an interactive decision support tool
- Leverages Fabric’s strengths: OneLake, Semantic Models, and Copilot
- Saves time, boosts adoption, and empowers business users with guided analytics
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