Microsoft Fabric unifies data engineering, analytics, and BI into a single platform but real business value is created when insights lead to action.

In this session, we explore practical architectural patterns for building end-to-end, low-code analytics solutions using Microsoft Fabric, Power BI, and Power Automate.

The focus is on how these tools work together in real-world scenarios to move from raw data to automated, insight-driven outcomes.

Topics covered include:
Designing a Fabric-first analytics architecture using OneLake, Lakehouses, and semantic models
Structuring Power BI semantic models for both governed and self-service analytics

Patterns for triggering Power Automate workflows from data and report insights
Deciding when to use Fabric-native capabilities vs Power Platform automation

Governance, performance, and scalability considerations in low-code analytics

Lessons learned from real implementations, including common pitfalls to avoid

Attendees will leave with a clear mental model and reusable patterns for building analytics solutions that go beyond dashboards, enabling faster decisions and measurable business impact using the modern Microsoft Data Platform.