A comprehensive walkthrough of building a star schema financial model in Power BI, covering data profiling and transformation in Power Query, creating dimension tables using Reference instead of Duplicate, building a dynamic date table with M code, establishing proper relationships, and implementing DAX measures for variance analysis including YoY and MoM calculations. Emphasizes the importance of proper data modeling foundations before writing DAX, with practical insights on cardinality analysis, hiding unnecessary fields, and time intelligence patterns.

12m read timeFrom towardsdatascience.com
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Table of contents
The Mission: The Enterprise-Grade Financial SuitePhase 1: Data Transformation (Power Query)Phase 2: Data Modeling (From Tables to a Star Schema)Phase 3: DAX Measures & Variance Analysis (Where the Model Starts to Shine)Conclusion

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