https://github.com/data-edd/e-commercestore_analysis
This project analyzes e-commerce data to provide insights into sales performance, profitability, and customer behavior using Power BI.
https://github.com/data-edd/e-commercestore_analysis
data-analysis powerbi powerbidashboard
Last synced: 4 months ago
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This project analyzes e-commerce data to provide insights into sales performance, profitability, and customer behavior using Power BI.
- Host: GitHub
- URL: https://github.com/data-edd/e-commercestore_analysis
- Owner: data-edd
- Created: 2025-03-04T20:36:26.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-12T12:22:02.000Z (about 1 year ago)
- Last Synced: 2025-03-30T07:31:47.046Z (about 1 year ago)
- Topics: data-analysis, powerbi, powerbidashboard
- Homepage:
- Size: 17.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# E-Commerce Power BI Analysis
## Description
This project analyzes e-commerce data to provide insights into sales performance, profitability, and customer behavior using Power BI. The dashboard includes key performance indicators (KPIs) that help in decision-making and business strategy optimization.
## Dataset Information
- **Source:** E-commerce transaction database
- **Format:** Excel / CSV
- **Key Attributes:**
- **Order ID:** Unique identifier for each transaction
- **Product Name:** Name of the purchased product
- **Category Name:** Product category
- **Sales:** Total sales amount
- **Profit:** Profit earned per transaction
- **Quantity:** Number of items sold
- **State & Customer Region:** Geographic details of customers
- **Shipping Type:** Delivery method used
- **Order Date:** Date of transaction
## Installation & Requirements
To set up and explore the Power BI analysis, ensure you have the following tools installed:
### Required Tools:
- Power BI Desktop
- Data source connections (Excel, CSV)
## Usage
To analyze the data and explore insights:
1. Clone the repository:
```bash
git clone https://github.com/data-edd/ecommerce-powerbi-dashboard.git
```
2. Open the `E-COMMERCE-DASHBOARD.pbix` file in Power BI Desktop.
3. Refresh the dataset to load the latest data.
4. Explore the interactive dashboards and reports.
## Key Metrics & Insights
This Power BI dashboard focuses on the following key performance indicators:
- **YTD Sales:** Year-to-date total revenue from sales.
- **YTD Profits:** Year-to-date total profit.
- **YTD Quantity:** Total number of products sold year-to-date.
- **YTD Profit Margin:** Profit margin percentage calculated on YTD sales.
- **YTD Sales & Total Quantity by State and Customer Region:** Geographical analysis of sales distribution.
- **Sales by Category Name:** Breakdown of revenue by product categories.
- **YTD Sales by Customer Region:** Regional sales trends.
- **YTD Sales by Shipping Type:** Impact of shipping methods on sales performance.
- **Top-5 Products by YTD Sales:** Best-performing products based on revenue.
- **Bottom-5 Products by YTD Sales:** Least-performing products by revenue.
- **Year-on-Year Sales Growth by Product Category:** Trends in sales growth across different product categories.
## Methodology
The analysis follows a structured approach:
1. **Data Import & Transformation:** Data cleaning and preparation using Power Query.
2. **Exploratory Data Analysis (EDA):** Identifying trends, patterns, and relationships.
3. **Data Modeling:** Creating relationships and DAX measures for custom calculations.
4. **Visualization:** Presenting insights through Power BI dashboards.
## Contributions
Contributions are welcome! If you’d like to contribute:
1. Fork the repository.
2. Create a new branch (`feature-branch-name`).
3. Commit your changes and push to the branch.
4. Submit a pull request.
## Contact
For any inquiries or support, feel free to open an issue or contact [mr.armstrongedward@gmail.com].