Understanding Employee Attrition Pattern through HR Analytics - Generating Meaningful Insights

Abstract

One of the biggest problems faced by any organization is employee attrition and retention. It not only affects work flow and increases the cost for the organization it also hampers productivity of the organization. The study will evaluate factors affecting the employee’s attrition in a company. This is an exploratory study based on secondary data available of the employees in a company. The analysis will be done through data mining using R tool. The data will be cleaned and then different models will be applied such as KNN Model, Regression, Random Forest to predict the employee attrition. The aim here is to identify data points and features which are crucial to engage employees and reduce unhealthy attrition rate as well as improve the quality of hire. The data points then can be monitored so as to improve quality of hire. Practical application is to measure the HR process effectiveness & help in enabling faster decision making through Key Insights. The paper is aimed at enabling the companies in improving their HR processes and drive performance through effective human capital management.