HR Analytics Dashboard using Power BI
  • Author(s): Shubham Dhananjay Kokane ; Sakshi Milind Gole ; Shreya Sandeep Dhuri ; Aayushi Pradeep Srivastava
  • Paper ID: 1708033
  • Page: 890-895
  • Published Date: 24-04-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 8 Issue 10 April-2025
Abstract

Employee attrition is a major challenge for organizations, affecting workforce stability, productivity, and operational costs. Understanding the reasons behind employee turnover is crucial for HR departments to develop effective retention strategies. This project focuses on creating an HR Analytics Dashboard using Power BI to analyze employee attrition trends and provide data-driven insights. The dashboard integrates various employee attributes, including age, job role, education level, salary slabs, experience in the company, and gender, to identify key factors influencing attrition. By leveraging interactive data visualizations, HR professionals can explore patterns and correlations that contribute to employee turnover. The attrition rate analysis helps in determining the percentage of employees leaving the company, while demographic insights highlight trends related to age, gender, and education level. Salary and experience trends provide an understanding of how compensation and tenure impact attrition, whereas job role-based analysis identifies positions with the highest turnover rates. The primary objective of this project is to provide HR professionals with a comprehensive and visually intuitive tool to analyze attrition trends, identify risk factors, and support data-driven decision-making to improve employee retention. By utilizing Power BI, this project demonstrates how business intelligence and analytics can be applied to human resource management to optimize workforce planning and minimize attrition.

Citations

IRE Journals:
Shubham Dhananjay Kokane , Sakshi Milind Gole , Shreya Sandeep Dhuri , Aayushi Pradeep Srivastava "HR Analytics Dashboard using Power BI" Iconic Research And Engineering Journals Volume 8 Issue 10 2025 Page 890-895

IEEE:
Shubham Dhananjay Kokane , Sakshi Milind Gole , Shreya Sandeep Dhuri , Aayushi Pradeep Srivastava "HR Analytics Dashboard using Power BI" Iconic Research And Engineering Journals, 8(10)