This project analyzes sales data using SQL on the Superstore dataset. The objective is to extract meaningful insights and understand business performance.
- MySQL
- SQL
- Superstore dataset (CSV file)
- Total Sales and Profit
- Total Orders
- Sales by Region and Category
- Top Customers and Sub-Categories
- Monthly Sales Trends
- Loss-making Sub-Categories
- Profit Ratio
- West region contributes the highest sales
- Technology category generates maximum profit
- Some sub-categories are loss-making
- Top customers contribute significantly to total revenue
- Sales vary across months indicating seasonal trends
This project demonstrates SQL skills for real-world business analysis and decision-making.