https://github.com/preranarao03/madhav_e-commerce_dashboard

This repository features the Madhav_E-Commerce_Dashboard built with Power BI. It provides interactive visualizations for analyzing e-commerce sales performance, product categories, customer segments, and geographic data, aiding in data-driven business decisions.
https://github.com/preranarao03/madhav_e-commerce_dashboard

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This repository features the Madhav_E-Commerce_Dashboard built with Power BI. It provides interactive visualizations for analyzing e-commerce sales performance, product categories, customer segments, and geographic data, aiding in data-driven business decisions.

• Host: GitHub
• URL: https://github.com/preranarao03/madhav_e-commerce_dashboard
• Owner: preranarao03
• Created: 2024-04-07T08:58:28.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-08-04T22:35:55.000Z (5 months ago)
• Last Synced: 2024-08-05T00:17:08.497Z (5 months ago)
• Topics: analysis, data, powerbi
• Homepage:
• Size: 139 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Madhav_E-Commerce_Dashboard

### Overview

Madhav_E-Commerce_Dashboard is a comprehensive e-commerce data visualization tool created using Power BI. This dashboard provides detailed insights into various aspects of e-commerce performance, allowing users to analyze sales trends, track key metrics, and make data-driven decisions. Designed from scratch, it incorporates various Power BI features to deliver interactive and intuitive visualizations for business intelligence.

### Technology Used

Power BI: The primary tool used for building the interactive dashboard and visualizations.

### Features

Madhav_E-Commerce_Dashboard includes the following key features:

Sales Performance Analysis: Visualize and track sales performance over time with interactive charts and graphs.

Product Category Insights: Analyze sales data by product categories to identify top-performing items.

Customer Segmentation: View and analyze customer data to understand purchasing patterns and preferences.

Geographic Sales Distribution: Display sales data across different regions to identify geographic trends.

### Deployment

The dashboard is built and deployed using Power BI, providing an interactive and user-friendly experience for exploring e-commerce data. Power BI's robust features enable seamless data integration and visualization.

### Contributions

Contributions to the project are welcome! If you have suggestions or improvements, feel free to fork the repository, make your changes, and submit a pull request.

### Acknowledgements

Special thanks to the Power BI team for providing a powerful tool that facilitates data analysis and visualization.