Four Months of Flawed Power BI Data: How a 'Clean' Model Led to Bad Decisions
Imagine basing million-dollar decisions on a report that's quietly wrong. That's what happened when a denormalized region key broke a star schema in Power BI, fooling everyone for months.
⚡ Key Takeaways
- Denormalizing SCD attributes into fact tables creates quiet aggregation errors that evade detection for months. 𝕏
- Always use Type 2 SCD dimensions with surrogate keys for changing attributes like customer regions. 𝕏
- AI-assisted modeling tools may amplify these flaws unless you audit relationships rigorously. 𝕏
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Originally reported by Towards AI
