Project Focus: This project centers on leveraging Power BI for in-depth analysis of HR data to identify attrition reasons and factors influencing employee turnover within the organization.
1) Project Objectives:
Data Collection and Integration: Collect HR data related to employee demographics, performance evaluations, compensation, tenure, and exit interviews. Integrate diverse datasets into Power BI for centralized analysis.
Attrition Analysis: Perform detailed analysis to understand patterns and trends in employee attrition rates over time. Identify common reasons for employee turnover such as career growth opportunities, compensation issues, work-life balance, managerial relationships, etc.
Factors Affecting Attrition: Analyze data to uncover factors contributing to attrition, including demographic trends, departmental variations, and tenure impacts. Use correlation analysis and statistical techniques to identify significant predictors of attrition.
Visualization and Dashboards: Develop interactive dashboards in Power BI to visualize attrition metrics and trends. Create drill-down reports to explore attrition patterns by department, role, tenure, and other relevant factors.
Insights and Recommendations: Derive actionable insights from data analysis to inform HR strategies and retention initiatives. Provide recommendations for improving retention rates, enhancing employee satisfaction, and addressing identified attrition drivers.
2) Tools and Techniques Used:
Power BI: Utilized for data visualization, interactive dashboards, and exploring attrition metrics. Data Modeling: Establishing relationships between HR datasets for cohesive analysis.
DAX (Data Analysis Expressions): Creating calculated columns and measures to derive insights. Statistical Analysis: Using correlation analysis and regression models to understand attrition factors.
3) Conclusion:
This HR data analytics project with Power BI aims to uncover the root causes and influencing factors of employee attrition. By visualizing attrition trends and conducting detailed analysis, the project enables HR professionals to make data-driven decisions, implement targeted retention strategies, and ultimately improve organizational stability and employee satisfaction.