It’s familiar: you’ve got distinct models for Finance, Sales, Operations, maybe Marketing. They’re well designed, maintained independently. And then leadership asks: “Just show me all the KPIs in one place.”

When you try to “force” everything into one model or stitch with dashboards, you run into challenges: duplicated logic, model bloat, refresh dependencies, permissions complexity, and performance bottlenecks. But there is a middle ground - a pattern that brings together only what’s needed from each existing model into a unified view.

In this 90-minute deep dive, we’ll combine strategy with hands-on execution:

Part I – Strategy & trade-offs

• Why a “mega model” often fails (model complexity, governance, maintenance)
• Why dashboards and scorecards are easy but limited
• The “unified view” pattern: when it makes sense, when it doesn’t
• Key design principles: reuse logic, minimize duplication, maintain independence of source models

Part II – Implementation patterns (demo + recipe)

Lightweight version - built entirely in Power BI Desktop:
 • Import queries or tables
 • Bring in aggregated data from source models
 • Reuse existing measure logic where possible
 • Keep your unified model slim and manageable

Metadata-driven version - scalable, maintainable, leveraging Fabric notebooks:
 • Automating extraction of queries/results from source models
 • Generating unified tables and measures programmatically
 • Handling refresh sequencing and dependencies
 • Applying governance and versioning

You’ll see working demos and come away with a pattern you can adopt immediately. You’ll also gain the insight to decide when to build a unified model - and when dashboards or scorecards are the better option.