E-commerce Analysis

Analyzing sales and customer behavior for actionable insights

Project Overview

This project leverages SQL queries to analyze an e-commerce dataset. The primary focus includes identifying sales trends, segmenting customers, and providing actionable insights into revenue and profitability. The analysis also visualizes key performance indicators (KPIs) using tools like Power BI.

Database Structure

The database was designed to organize e-commerce data efficiently, with tables representing customers, categories, products, orders, and order details. Relationships between these tables were established to allow comprehensive analysis.

Key SQL Queries

Top-Selling Products

This query identifies the top-selling products by summing quantities sold and calculating total revenue.

Category Revenue

Analyzes revenue generated by each category to determine the most profitable segments.

Customer Orders

Displays customer order histories, including names, order dates, and total amounts.

Technologies Used

SQL Excel Power BI

Explore More

Dive into the full analysis and SQL queries used in this project.

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