https://github.com/shaadclt/employee-attrition-dashboard-powerbi
This project provides an interactive employee attrition dashboard created using Power BI. It aims to visualize and analyze employee attrition data to gain insights into factors contributing to employee turnover and develop strategies for retention.
https://github.com/shaadclt/employee-attrition-dashboard-powerbi
business-intelligence data-analytics data-visualization powerbi
Last synced: 8 months ago
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This project provides an interactive employee attrition dashboard created using Power BI. It aims to visualize and analyze employee attrition data to gain insights into factors contributing to employee turnover and develop strategies for retention.
- Host: GitHub
- URL: https://github.com/shaadclt/employee-attrition-dashboard-powerbi
- Owner: shaadclt
- Created: 2023-03-20T07:14:58.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-05-27T03:08:44.000Z (over 2 years ago)
- Last Synced: 2025-02-02T09:41:25.640Z (10 months ago)
- Topics: business-intelligence, data-analytics, data-visualization, powerbi
- Homepage:
- Size: 434 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Employee Attrition Dashboard with Power BI
This project provides an interactive employee attrition dashboard created using Power BI. It aims to visualize and analyze employee attrition data to gain insights into factors contributing to employee turnover and develop strategies for retention.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Setup](#setup)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Introduction
The Employee Attrition Dashboard project utilizes Power BI, a powerful business intelligence tool, to create an interactive dashboard for analyzing employee attrition. By connecting to a data source containing employee data, this dashboard enables visual exploration of attrition trends and provides insights into the factors influencing employee turnover.
## Features
The Employee Attrition Dashboard includes the following features:
- **Attrition Overview**: Provides an overview of attrition statistics, including attrition rate, total employees, and attrition trends over time.
- **Employee Demographics**: Visualizes the distribution of employees by demographics, such as age, gender, and department, to identify patterns related to attrition.
- **Attrition Analysis**: Analyzes attrition based on various factors, such as job level, education, and performance rating, to understand their impact on employee turnover.
- **Retention Strategies**: Offers insights into potential retention strategies by identifying factors associated with higher attrition rates, such as low salary or lack of growth opportunities.
- **Predictive Analytics**: Utilizes predictive models to forecast attrition trends and identify employees at higher risk of leaving the organization.
## Setup
To use this project locally, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/shaadclt/Employee-Attrition-Dashboard-PowerBI.git
```
2. Install Power BI Desktop, which can be downloaded from the official Power BI website.
3. Connect Power BI Desktop to your data source, such as an Excel spreadsheet or a database containing employee attrition data.
4. Customize the dashboard visuals, layouts, and calculations according to your specific data and analysis requirements.
5. Save the Power BI project file (.pbix) in the project directory.
## Usage
To use the Employee Attrition Dashboard with Power BI, follow these steps:
1. Open Power BI Desktop and open the project file (.pbix) from the project directory.
2. Ensure that the data source connection is properly configured and that the data is refreshed if necessary.
3. Interact with the dashboard by exploring different visuals, applying filters, and drilling down into specific areas of interest.
4. Analyze the attrition trends, identify potential causes of attrition, and gain insights into retention strategies.
5. Customize the dashboard as needed by modifying visuals, adding new calculations, or integrating additional data sources.
6. Publish the dashboard to Power BI Service to share it with others and collaborate on the analysis.
Feel free to customize the dashboard visuals, add new features, or integrate advanced analytics techniques to further enhance the analysis and provide more actionable insights.
## Contributing
Contributions to this project are welcome. If you find any issues or have suggestions for improvement, please open an issue or submit a pull request on the project's GitHub repository.
## License
This project is licensed under the [MIT License](LICENSE). You are free to modify and use the code and Power BI files for both personal and commercial purposes.