Towards Understanding Employee Attrition using a Decision Tree Approach

Abstract

Employee attrition is a serious problem, and this has been a focus of research for the last few decades. Various approaches from exit interviews to psychological studies have addressed this issue. The idea is to avoid or minimise people leaving an organisation before an employer finds a replacement. With the abundance of data, lately, researchers from the Artificial Intelligence community have also addressed this issue. This research addressed the employee attrition issue using a decision tree approach to publically available data. The results are promising from this work in progress study, and future work-study will include more parameters and test the model on a local supermarket data