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๐Ÿ“Š SQL ยท Business Intelligence

Sales Data
Analysis

A complete SQL-based business intelligence project uncovering top products, revenue trends, and customer insights from a real sales database.

MySQL
Database
6+
Key Insights
BI
Ready Reports
Business Questions
What This Analysis Answers
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Which products generate the most revenue?
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What are the monthly and seasonal sales trends?
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Who are the highest-value customers by lifetime spend?
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Which regions generate the most revenue?
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Which products are underperforming vs targets?
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What is average order value per category?
Sample Query
SQL in Action
-- Top 5 Products by Revenue SELECT p.name, SUM(oi.quantity * oi.unit_price) AS revenue FROM order_items oi JOIN products p ON oi.product_id = p.product_id GROUP BY p.name ORDER BY revenue DESC LIMIT 5; -- Monthly Revenue Trend SELECT DATE_FORMAT(order_date, '%Y-%m') AS month, SUM(total_amount) AS monthly_revenue FROM orders GROUP BY month ORDER BY month;
Stack
Tech Used
MySQLSQL MySQL WorkbenchMicrosoft Excel Data AnalysisBusiness Intelligence
Developer
Built By
SK
Shiva Keshava
Data Scientist & ML Engineer ยท B.Tech AI & Data Science