This release represents the final, complete version of the SQL exploratory data analysis project developed as part of a college data analytics course.
It includes:
- A star schema data model with fact and dimension tables
- End-to-end SQL exploratory analysis covering revenue, customers, seasonality, churn, and pricing behaviour
- Advanced SQL techniques including CTEs, window functions, and time-based analysis
- Explicit anomaly detection logic with quantified impact assessment
- Clear business-focused insights, assumptions, and limitations documented in the README
This version is intended for portfolio review and demonstration of SQL analytics capability.