Employed Power BI for HR Data Analytics: Analyzing Attrition and its Influencing Factors
Project Focus: Leveraging Power BI for comprehensive HR data analysis to uncover factors influencing employee attrition within the organization.
Project Objectives:
Data Collection and Integration: Gather HR data including demographics, performance evaluations, compensation, tenure, and exit interviews. Integrate datasets into Power BI for centralized analysis.
Attrition Analysis: Explore patterns and trends in employee turnover rates. Identify key reasons such as career growth, compensation, work-life balance, and managerial relationships.
Factors Affecting Attrition: Analyze demographic, departmental, and tenure data. Use statistical techniques to identify significant attrition predictors.
Visualization and Dashboards: Develop interactive Power BI dashboards to visualize attrition metrics by department, role, and tenure. Enable drill-down reports for deeper insights.
Insights and Recommendations: Derive actionable insights to enhance HR strategies, retention initiatives, and employee satisfaction.
Tools and Techniques Used:
Power BI: Data visualization and interactive dashboard creation. Data Modeling: Establishing relationships between HR datasets. DAX (Data Analysis Expressions): Calculated columns and measures for insights. Statistical Analysis: Correlation analysis and regression models for attrition factors.
Conclusion: This HR analytics project with Power BI aims to uncover root causes of attrition and empower HR strategies with data-driven insights, fostering organizational stability and enhancing employee satisfaction.