Employee Turnover Analysis with Application of Data Mining Methods
Employee turnover is a usual thing in any business activities. They turn over for various reasons. But the companies have to monitor this issue because while hiring new employees there is training cost and associated hiring may increase. The rising cost of employee turnover confirms the need to provide more resources to finding solutions to the problem. Existing research confirms that the costs associated with losing a good employee and training a new one can equal 1.5 times the salary of the exiting employee. This paper utilized data extracted from current employees by questionnaires and data of exiting employees of the company, which included the individual reasons given for leaving the organization.