“Understanding Employee Attrition– An Organizational Change Perspective–using Predictive Analysis Techniques”

Abstract

Predictive analytics assist managerial people in decision making about employment, retaining, cost of training, awards, growth of employee career, and administrative efficiency and productivity. The HR predictive analytics estimate the impending consequences and comprehend the implications of theoretical modifications in organizations. HR analytics utilizing predictive analytics to decide for enhancing the performance of the employee and modifying the existing organizational policies. Accurate predictions enable organizations to take action for retention or succession planning of employees. However, the data for this modeling problem comes from HR Information Systems (HRIS). This paper makes an attempt to study the various Predictive analytics tools which includes Naïve Bayes, Support Vector Machines, Decision – tree & random forests, Logistic regression, Machine Learning &K  - nearest neighbours. A theoretical approach is made towards all the above techniques to understand the strength of each technique to understand Employee attrition which leads to Organizational Change.