Let us see the factors which are responsible for employee attrition in IBM

What factors cause an employee to quit his job? This question is one of the biggest concerns of the organizations because the company’s success depends on its ability to retain its top talent. To understand this problem and its solution, companies are using human resource analytics. Human resource analytics is the application of data analytics within the company to make better decisions related to human resources. Attrition evaluation and prediction is part of Human resource analytics. However, the question is, ‘what is attrition?’

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Attrition is a reduction in the workforce of a company. It is one of the biggest problems in organizations because of its cost. For a company, it is costly to replace the attired employee with the new employee because it contains the cost like new hire training cost, job posting, and paperwork. High cost associated with attrition is not the only reason why companies should address this problem because when employees change the company, they also carry the company’s valuable information with them that can be very beneficial for the other organization and can lead to competitive advantage. So, there is a massive need to find the key factors responsible for attrition.

In this article, I will try to find out the significant reasons or factors that are responsible for attrition by using the IBM human resource performance dataset.

IBM HR Performance Dataset

This dataset is downloaded from here. It contains 1470 instances, and 35 attributes, including the class variable.

Data Head in Python

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