How to Build a Power BI Data Model Using Star and Snowflake Schemas

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A practical tutorial uses ShopKe, a fictional Kenyan e-commerce company, to explain data modelling concepts in Power BI across three datasets: Customers, Products, and Orders. The article outlines three structural approaches — flat tables, star schemas, and snowflake schemas — comparing their advantages, limitations, and ideal use cases. A star schema places a central FactSales table linked to dimension tables for customers, products, and dates, making it well-suited for business intelligence reporting. The snowflake schema extends this by further normalising dimension tables, such as splitting product data into separate category and subcategory tables. The guide aims to help analysts organise data effectively to enable accurate DAX calculations, better query performance, and clearer business insights.

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