Analyze retail sales data to uncover trends, identify top-performing regions, and generate business insights using SQL.
- Superstore dataset
- Contains sales, customer, region, and product information
- SQL (SQLite / MySQL)
- Google Colab (for execution)
- Excel (for initial data handling)
- Total sales by region
- Sales by customer segment
- Top customers by revenue
- Profit vs Sales analysis
- Monthly sales trends
- Central region generates the highest sales
- Consumer segment drives most revenue
- Some high-sales transactions are unprofitable
- Sales show seasonal trends
This project demonstrates how SQL can be used to extract meaningful business insights from raw data and support decision-making.