PBIMCR presents Mastering Human & AI Semantic Layer & Customer-First Analytics'

it's the 1st PBIMCR of 2026 to start our 10th anniversary celebrations...

When: Thursday 29th of January 2026
Time: arrive for 530pm with talks starting from 6pm start prompt
Location: TBC - set as Robert Walters Manchester office but may change in early January.
Session will not be streamed over MS Teams but uploaded to our YouTube channel in early Feb
Complimentary drinks & pizza provided by our hosts & sponsors Robert Walters

January's PBIMCR will feature .....
Speaker Details -

Talk 1:
Shubhangi Goyal
Title: Customer-First Analytics: Power BI Dashboard for Impact

#### Description

Building a dashboard is easy. Building one that truly serves your customer — that's where the real work (and value) begins.

In this session, we’ll walk through how to build a Power BI dashboard from scratch with a customer-first mindset. From defining the right problem to designing with empathy, this session will cover:

-Understanding your audience’s pain points and priorities
-Translating business questions into measurable KPIs
-Structuring your data model for flexibility and performance
-Designing intuitive visuals and layout for usability
-Gathering feedback and driving dashboard adoption

If you are looking to level up your Power BI game, you’ll leave with practical tools, techniques, and frameworks to turn your dashboards into decision-driving assets.

Talk 2:
Mihaly Kavasi
Talk Title: Master the Human & AI-Friendly Semantic Layer

Transform your organization's data strategy by mastering the essential bridge between IT and Business. This session reveals how to build semantic layers that empower both human users and AI assistants (including Copilot) to extract maximum value from your data assets.
What you'll master:
• Implement optimal responsibility division between IT/BI teams and business users for scalable self-service
• Design semantic layer structures that balance usability, performance, and AI compatibility
• Optimize naming conventions and metadata specifically for Copilot and AI assistant readability
• Leverage advanced model features (field parameters, perspectives, calculation groups) that accelerate report creation
• Apply performance optimization techniques that deliver instant insights even with billions of rows
• Master code-first semantic layer design using TMDL and modern development workflows
• Train AI Coding Agents to efficiently implement these improvements
You'll build semantic layers that slash report development time by 60%, eliminate IT bottlenecks, and position your organization for success in the AI-augmented analytics era.

Takeaways: Semantic layer design checklist, naming convention guide, Copilot optimization templates
Topics Covered: Power BI, Microsoft Fabric, Azure Analysis Services, AI Coding Agents