Fixing Supply Chain Data Models 📦 with Power BI 📊 by Quinton Holberg
How do you transform messy, user-generated supply chain data into clean, reliable, and automated reports? Quinton Holberg, a LearnPowerBI Member, developed a Power BI solution 📊 for a food manufacturer that identifies broken data models, fixes relationship issues, and automates reporting processes to save time and improve accuracy.
Here’s what you can expect from his presentation:
Diagnosing Model Issues: Spot many-to-many relationships, bi-directional lookups, and unnecessary date hierarchies that create errors in reporting and automation.
Rebuilding with Best Practices: Implement a dimensional/star schema with fact and dimension tables, single-direction relationships, and organized model tabs for maintainability.
Automating Workflows: Use Power Automate + DAX to replace repetitive CSV exports and manual Excel formatting, creating scalable and error-free supply chain dashboards.
This case study shows how Power BI can turn complex operational data into actionable intelligence—helping supply chain teams make faster, data-driven decisions with confidence.
Scroll up 👆 to watch the Full Video ▶️ by Quinton Holberg.
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