Welcome to the Workforce Analytics Dashboard project! This repository showcases a Power BI dashboard designed to analyze and provide insights into workforce data. The dashboard helps HR professionals and business leaders make informed decisions by uncovering trends, patterns, and key metrics related to employee performance, diversity, and organizational dynamics.
Organizations thrive when they effectively manage their workforce. This project focuses on leveraging workforce data to uncover actionable insights and support data-driven decision-making in human resource management. The dashboard presents an interactive and comprehensive analysis of key HR metrics, enabling businesses to:
- Monitor workforce diversity and inclusivity.
- Track employee performance and retention trends.
- Analyze departmental dynamics and workforce distribution.
The dashboard highlights critical areas to improve workforce management. Below are some of the insights derived:
- Diversity Metrics: Understand gender and age distribution across departments.
- Employee Retention: Identify trends in employee attrition and retention rates.
- Performance Analysis: Compare performance across teams and identify top-performing employees.
- Departmental Trends: Analyze workforce distribution and dynamics within departments.
- Attrition Analysis: Pinpoint factors contributing to employee turnover.
The dashboard includes key performance indicators (KPIs) calculated using DAX, such as:
- Total Employees
- Attrition Rate
- Average Tenure
- Gender Diversity Ratio
- Employee Satisfaction Index
- Top Performer Count
- Creating dynamic and interactive dashboards using Power BI.
- Understanding and calculating HR-related KPIs with DAX.
- Designing user-friendly layouts to present complex data effectively.
- Analyzing workforce data to extract actionable insights.
- Communicating data stories through clear and impactful visuals.
- Power BI: For interactive dashboard development and data visualization.
- DAX (Data Analysis Expressions): For calculating KPIs and implementing advanced logic.
- Excel: For data preprocessing and cleaning.
Mayur Jambe
- Kaggle Profile: Mayur Jambe
- GitHub Profile: Mayur Jambe
- LinkedIn: Mayur Jambe
Feel free to explore, fork, and contribute to this project. Feedback and suggestions are highly appreciated! 🌟