A senior tech analyst discovered a fundamental flaw in their Power BI data model that had gone undetected for four months, leading to inaccuracies in regional sales totals. The error stemmed from incorrectly denormalizing the region attribute into the fact table instead of properly linking it through the customer dimension, highlighting the importance of understanding grain and handling slowly changing dimensions correctly.
Read the full article at Towards AI - Medium
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