Skipping data modeling in Power BI projects is the leading cause of project failure. Using a single flat table instead of a proper data model leads to bloated file sizes, slow refresh and report performance, overly complex DAX formulas, inconsistent KPIs across reports, and maintenance nightmares. The right approach is to split data into meaningful dimension and fact tables connected by relationships, organized by business domain rather than one table per report or one giant shared model. This enables reuse across multiple reports, easier maintenance, consistent numbers, and faster performance.
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