Beyond Internal Analytics: Building Governed, Customer-Facing Intelligence on Power BI
Power BI

Beyond Internal Analytics: Building Governed, Customer-Facing Intelligence on Power BI

Content type Webinar
Presenter Brian DeLuca
Date + Time Tue, Jul 14th 2026 @ 4:00 PM CEST
About this Webinar

Beyond Internal Analytics: Building Governed, Customer-Facing Intelligence on Power BI

Webinar Description:

Microsoft Fabric and Copilot are transforming internal analytics. But what happens when customers, partners, or regulators need to receive that intelligence, governed, branded, and AI-ready?

This session covers the external delivery gap that most Power BI implementations haven’t solved: multi-tenant orchestration, AI output governance, and customer-facing intelligence delivery built directly on your existing Power BI investment.

 

Agenda:

The internal vs. external intelligence gap: why most Power BI deployments stop at the organization’s edge (10 min)

What governed external AI delivery actually requires: approval workflows, audit trails, explainability, per-customer agent configuration (15 min)

Architecture walkthrough: how Reporting Hub + BI Genius layers onto Power BI semantic models inside your Azure tenant (15 min)

Live demo + Q&A (20 min)

Benefits of attending the webinar –

Understand the external intelligence delivery gap and what it takes to close it without rebuilding your analytics stack

See a working architecture for governed, customer-facing Power BI intelligence with AI, running inside your existing Azure environment

Learn how to deliver AI-generated insights to external audiences with full audit trail, source attribution, and per-customer control

Walk away with a decision framework for evaluating build vs. buy for external intelligence delivery

Is there a demo?

Yes – one demo

Agenda:

Attendees will learn how to extend Power BI beyond internal reporting to securely deliver governed, scalable, customer-facing analytics that drive external value and enable data-driven decision-making at scale.

Experience
300
Audience
Power BI

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