https://github.com/l1ght14/e-commerce-sales-analysis
Interactive Power BI dashboard analyzing e-commerce sales, profit trends, top products, and customer segments using the Sample Superstore dataset.
https://github.com/l1ght14/e-commerce-sales-analysis
dashboard data-analysis powerbi
Last synced: 5 months ago
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Interactive Power BI dashboard analyzing e-commerce sales, profit trends, top products, and customer segments using the Sample Superstore dataset.
- Host: GitHub
- URL: https://github.com/l1ght14/e-commerce-sales-analysis
- Owner: l1ght14
- License: mit
- Created: 2025-04-09T11:39:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-27T07:22:22.000Z (about 1 year ago)
- Last Synced: 2025-06-29T04:36:53.305Z (about 1 year ago)
- Topics: dashboard, data-analysis, powerbi
- Homepage:
- Size: 1.97 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# E-commerce Sales Analysis Dashboard
## Overview
An interactive Power BI dashboard built using the Sample Superstore dataset. It analyzes sales trends, customer segments, and regional performance to derive business insights.
## Features
- KPIs for Total Sales and Profit
- Top 10 Selling Products
- Monthly Sales Trend
- Regional Sales Comparison
- Discount vs Profit Correlation
- Slicers for Segment, Category, and Date filtering
## Tools Used
- Power BI
- Excel
- Sample Superstore Dataset
## Insights
- Technology and Office Supplies drive the highest sales
- Discounts above 30% often lead to negative profits
- Western and Eastern regions generate the most revenue
## How to Use
1. Open `superstore_dashboard.pbix` in Power BI Desktop
2. Interact with slicers to explore the dashboard
3. Use this project to learn dashboarding and storytelling with data
## Screenshot
