This project analyzes employee attrition using the IBM HR Analytics dataset and presents key workforce insights through an interactive Power BI dashboard. The dashboard helps organizations understand employee trends and identify factors contributing to attrition.
Employee attrition can significantly impact organizational productivity and costs. This project aims to analyze workforce data to identify trends, monitor key HR metrics, and support data-driven HR decision-making.
- Dataset: IBM HR Analytics Employee Attrition & Performance Dataset
- Records: 1,470 Employees
- Employee ID
- Department
- Job Role
- Gender
- Education
- Age
- Salary Slab
- Overtime
- Years at Company
- Attrition
- Power BI
- DAX
- Power Query
- Total Employees
- Attrition Count
- Attrition Rate
- Active Employees
- Average Age
- Department-wise Analysis
- Job Role Analysis
- Gender Distribution
- Education Analysis
- Salary Slab Analysis
- Overtime Analysis
- Years at Company Analysis
- Sales department recorded the highest employee attrition.
- Employees working overtime showed a higher likelihood of leaving the organization.
- Lower salary brackets experienced higher attrition compared to higher salary groups.
- Workforce demographics provided additional insights into employee retention patterns.
Developed an interactive HR Analytics dashboard that enables organizations to monitor employee attrition, analyze workforce trends, and support strategic HR decisions through data-driven insights.
HR_Analytics_Dashboard/
│── HR Analytics Dashboard.pbix
│── HR Analytics Dashboard.pdf
│── README.md
- Add predictive attrition analysis using Machine Learning.
- Integrate real-time HR data sources.
- Build executive-level KPI dashboards.
Manohar Kade
- GitHub: https://github.com/manoharkade70-ai
- LinkedIn: https://www.linkedin.com/in/manohar-kade-279a17280/