Dashboards tell us what happened. Modern analytics platforms increasingly need to recognize what is happening now and help teams respond immediately. This session explores an event-driven analytics architecture using Microsoft Fabric, real-time data, Power BI, and Data Activator capabilities. We will follow streaming events from ingestion through analysis and visualization, then demonstrate how business conditions can trigger downstream actions and notifications. The session will also cover architecture decisions around latency, event modeling, operational analytics, alert fatigue, and when real-time processing actually provides value. Attendees will leave with reusable patterns for moving from passive dashboards toward responsive, event-driven analytics.

Focus: Streaming and event-driven analytics: ingesting real-time data, detecting business conditions, visualizing them, and triggering actions.

Objectives:
1. Design a real-time analytics pipeline that moves streaming events into Fabric and Power BI experiences.
2. Define meaningful business conditions and use event-driven patterns to turn analytics signals into actions.
3. Evaluate latency, scale, reliability, and operational trade-offs when deciding whether a workload truly requires real-time analytics.