gauravdesale8 / e-commerce-sales-data-dashboard-powerbi

E-Commerce Sales Data Dashboard using PowerBI

Overview

This project is aimed at creating an interactive dashboard using PowerBI to analyze and visualize e-commerce sales data. The dashboard provides comprehensive insights into the sales performance, trends, and key metrics of an e-commerce business.

Dashboard View

dashboard-video.mp4

Features

• Data Analysis: The dashboard utilizes the power of PowerBI to analyze and process large volumes of e-commerce sales data, providing valuable insights into customer behavior, product performance, and revenue trends.
• Interactive Visualizations: With a user-friendly interface, the dashboard offers interactive visualizations such as charts, graphs, and maps, enabling users to explore and understand the data from different angles.
• Key Metrics Tracking: The dashboard displays key performance indicators (KPIs) such as sales revenue, average order value, conversion rate, and customer retention rate, allowing users to monitor the health of their e-commerce business.

Installation

1. Clone or download the repository to your local machine.
2. Ensure you have PowerBI Desktop installed on your system.
3. Open PowerBI Desktop and click on "Open" to browse and select the downloaded project file.
4. Once the project is loaded, you can explore the dashboard by interacting with the various visualizations and filters.

Data Source

The e-commerce sales data used for this dashboard can be obtained from various sources such as transactional databases, online platforms, or data warehouses. It is recommended to preprocess and clean the data before importing it into PowerBI to ensure accurate and meaningful visualizations.

Dependencies

This project relies on the following software and libraries:

• PowerBI Desktop (version 2.117.984.0 or higher)
• [Optional] PowerBI Pro or PowerBI Premium for collaboration and sharing capabilities.

Usage

1. Open the PowerBI project file in PowerBI Desktop.
2. Connect the dashboard to the appropriate data source by selecting "Get Data" and choosing the relevant data connection option.
3. Once the data is imported, navigate through the different dashboard pages and explore the visualizations.
4. Use the provided filters and slicers to customize the data view and gain deeper insights into specific aspects of the e-commerce sales data.
5. To share the dashboard with others, save the project and publish it to the PowerBI service, where you can set permissions and collaborate with team members.

Contributing

Contributions to this project are welcome. If you encounter any issues or have suggestions for improvements, please open an issue or submit a pull request on the project's GitHub repository.

License

This project is licensed under the MIT License. Feel free to modify and adapt the codebase for your own use.

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