Retail sales data is often spread across multiple files and systems, making it difficult for business leaders to get a clear view of sales performance, profitability, returns, discounts, and regional/product-level performance.
This project solves the problem by building an end-to-end analytics platform using Microsoft Fabric and Power BI, where raw retail data is ingested, transformed through a Bronze–Silver–Gold Lakehouse architecture, validated, modeled semantically, and visualized through a business-ready Power BI report.
