A comprehensive Data Warehouse Analytics project featuring Exploratory Data Analysis (EDA), business metrics calculation, and advanced SQL analytics. Includes customer/product segmentation, time-series analysis, and ready-to-use views for BI tools.
This project demonstrates professional SQL analytics on a data warehouse, featuring:
- Comprehensive Exploratory Data Analysis (EDA)
- Business metric calculations (KPIs, revenue, customer segmentation)
- Advanced analytics (window functions, time-series, part-to-whole analysis)
- Ready-to-use views for Power BI/Tableau integration
🔍 Exploratory Analysis - Database schema exploration and data profiling
📊 Business Metrics - 20+ key performance indicators calculated
⏳ Time-Series Analysis - Monthly/Yearly trends with moving averages
👥 Customer Segmentation - VIP/Regular/New classification with RFM metrics
📈 Product Performance - High/Mid/Low performer categorization
🎯 Advanced SQL - Window functions, CTEs, complex joins
- SQL query optimization
- Data warehouse analysis
- Business intelligence reporting
- Analytical thinking
- Data storytelling
-- Run the SQL scripts in your data warehouse environment
-- Views are pre-configured for BI tool integration