Analyzing IBM HR Data: Employee Attrition and Performance Insights

Abstract

Employee turnover is often perceived as detrimental to organizational efficiency, but is this always the case? This research explores the multifaceted factors influencing employee attrition and examines whether lower turnover invariably leads to greater efficiency. Utilizing the "IBM HR Analytics Employee Attrition and Performance" dataset, which includes variables such as employee age, department, education level, job satisfaction, gender, job role, marital status, and overtime hours, we conduct a comprehensive descriptive analysis to predict employee retention. By understanding these factors, HR and management can make informed decisions to mitigate attrition. This study aims to identify novel strategies to reduce employee turnover, providing actionable insights and predictions to help IBM retain talent and maintain productivity and success.