This project analyzes sales data to identify key business insights using SQL and Power BI.
- PostgreSQL (SQL)
- Power BI
- Excel (CSV dataset)
- West region generates the highest sales
- Technology category drives the most profit
- Furniture has lower profitability due to higher discounts
- A few products (Canon, Fellowes) contribute significantly to revenue
- Consumer segment generates the highest sales
- Sales show monthly variation with peak periods
- sales_analysis.sql → SQL queries used for analysis
- insights.txt → business insights derived from analysis
- Sales_Dashboard_PowerBI.pbix → Power BI dashboard
