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E-commerce Data Analysis: Explore insights from e-commerce data with scripts and notebooks. Clean, visualize, segment customers, analyze sales, and predict trends. Contribute, learn, and drive business growth. Clone and get started now! Happy Analyzing

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🌟 E-commerce Power BI Dashboard 🌟

🚀 Project Overview

Welcome to the E-commerce Power BI Dashboard, an interactive tool designed to provide critical insights into e-commerce operations. Featuring Dark and Light Mode options and an optimized filters panel, this dashboard offers an engaging, intuitive experience for analyzing financial, sales, marketing, and regional data.

Explore key performance indicators (KPIs) through the following dashboards:

  • Finance Dashboard
  • Sales & Marketing Dashboards
  • Regional Analysis Dashboard

🎥 Demo Video

📽️ Check out a video walkthrough of the dashboard in action [here](./DEMO/ScreenRecording 2024-10-21 0.mp4).


🛠️ Getting Started

⚙️ Requirements

  • Power BI Desktop (version 2.137.751.0 or higher)
  • A sample E-commerce dataset (or use your own)

💻 Usage

  1. Download and open the .pbix file in Power BI Desktop.
  2. Use the filters panel to explore data by time, region, and customer segments.
  3. Toggle between Dark and Light Mode for optimal viewing.
  4. Dive into the various dashboards to uncover insights about finance, sales, and regional performance.

✨ Key Features

🌑 Dark and Light Mode

  • Seamless theme switching: Tailor the dashboard's appearance with dynamic dark and light themes, ensuring comfortable viewing.

🎛️ Optimized Filters Panel

  • The filters panel is designed for efficiency, enabling quick filtering by region, customer segments, and time periods.
  • Filters Panel in Light Mode

💰 Finance Dashboard

  • Track profit margins, operating expenses, return on equity (ROE), and more, all in one place.
  • Finance Dashboard

📊 Sales & Marketing Dashboards

  • Analyze sales metrics like growth rate, total sales, and average order value.
  • Evaluate marketing effectiveness with metrics like leads, conversion rates, and opportunities.
  • Sales Dashboard
  • Marketing Dashboard

🌍 Regional Analysis Dashboard

  • Compare sales performance across regions, view average order values, and spot top-performing regions, with theme toggling for visual flexibility.
  • ![Regional Analysis](screenshots/Screenshot 2023-05-29 002515.jpg)

🗺️ Data Model View

  • Get a clear view of how your data tables relate to each other, including Orders, Returns, Location, and People.
  • Data Model View

📊 Data Sources

The dashboard leverages the following data types to deliver powerful insights:

  • Sales Data: Revenue, order details, and profits
  • Marketing Data: Campaign performance and conversion rates
  • Regional Data: Sales breakdown by geographic location

📈 Key Measures

📦 Channel Measures

  • LargestChannel: The channel with the most orders.
  • MaxOrderChannel: Maximum orders placed via any single channel.

🛍️ Customer Measures

  • Average Time to Conversion (in Days): Time taken for customers to convert.
  • C_Total Customers: Total customer count.
  • New Customers: Number of new customers acquired.

🚚 Delivery Measures

  • Delivery Percentage: Percentage of deliveries completed on time.
  • Largest Delivery Agency: Delivery agency with the highest order volume.

💵 Finance Measures

  • F_Debt-to-Equity Ratio: Proportion of debt to equity.
  • F_Gross Margin: Gross profit as a percentage of sales.
  • F_Net Profit: Net profit after all expenses.
  • F_Return on Equity (ROE): Profitability relative to shareholders' equity.

📊 Sales Measures

  • S_Avg Sales: Average sales value.
  • S_SalesGrowthRate: Rate of sales growth.
  • S_Total Sales: Total sales for the selected period.
  • S_TotalUnitsSold: Number of units sold.

🔧 Installation

  1. Clone or download this repository.
  2. Open the .pbix file in Power BI Desktop.
  3. Customize the data sources to match your own dataset.
  4. Explore and interact with the dashboard in Power BI.

🌱 Future Improvements

We’re planning to introduce even more advanced features:

  • Automation: Enable real-time data updates.
  • Enhanced Filters: Add more segmentation options.
  • Interactive Insights: Introduce additional interactive elements.
  • Predictive Analytics: Incorporate forecasting for sales and finances.
  • Live Data Integration: Link real-time data feeds to keep dashboards up-to-date.
  • Custom Metrics: Allow users to add their own KPIs and metrics.

🤝 Contributing

Contributions are welcome! If you have suggestions for improvements or new features, feel free to:

  • Open an issue
  • Submit a pull request

Check the CONTRIBUTING.md for more details.


📜 License

This project is licensed under the MIT License. See the LICENSE file for details.


Enjoy exploring the data with the E-commerce Power BI Dashboard! 🛍️📊

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E-commerce Data Analysis: Explore insights from e-commerce data with scripts and notebooks. Clean, visualize, segment customers, analyze sales, and predict trends. Contribute, learn, and drive business growth. Clone and get started now! Happy Analyzing

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