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🚀 Want the full Retail Supply Chain Analytics Portfolio Project with deeper walkthroughs and more advanced modeling? 👉 https://www.portfoliostack.io/?utm_so... This video focuses on how analytics teams design Gold-layer data models that turn operational supply chain data into decision-ready analytical datasets. This mirrors how analytics teams work in practice because strong supply chain analytics is not built inside charts, but on top of well-defined dimensional models that scale across availability, demand and replenishment questions. 📁 Follow Along Environment setup 👉 • Set Up a Professional Analytics Workspace ... Project files for this YouTube version 👉 https://github.com/aliahmadportfolios... 🎥 Video Chapters 00:00 - Intro to Analytical Modeling 00:00 - From Silver to Gold 00:00 - Dimension Table Scripts 00:00 - Fact Table Scripts 00:00 - Advanced Analytics Use Case 00:00 - Recap 00:00 - Next Steps 📌 What You’ll Learn How structured supply chain data is translated into analytical meaning How to design dimension and fact tables for sales and inventory analysis How demand, stock levels, and movements are combined into weekly exposure logic How Gold-layer models prepare the project for dashboards and insight delivery In the next video this analytical model is used to build dashboards that support availability monitoring, replenishment decisions and executive-level reporting. Happy learning!