Data Analytics and Business Intelligence PDF

Data Analytics and Business Intelligence 1
Data Analytics and Business Intelligence
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Data Analytics and Business Intelligence 2
Predict Employee Turnover using Human Resource Analytics
Introduction
Employee turnover specifically through attrition has become a major expense to many
organisations. As a result, it has made predicting turnover to be at the frontline need of
human resource in most companies. Accordingly, till recently, the mainstream method has
been the use of survival curves or logistic regression for modelling employee attrition
(Albrecht et al., 2015, p. 9). Nevertheless, with the dawn of machine learning (ML) it is now
possible to predict employee performance and providing explanations about the critical
aspects associated with employee attrition.
Problem Statement
The war about talent has become a crucial challenge in most of the organisation today.
Certainly, corporations are competing on attracting and retaining the talent, developing
workforce as well as takin care of their well-being. Accordingly, understanding predictive
analytics as well as being in a better position to leverage it on day to day operations and
support human resource business operations in this current challenge.
Purpose of the study
The objective of this paper is to analyse the aspects that influence turnover among employees
in companies through data mining techniques. Certainly, a range of predictive models are
employed to recognise the turnover occurrence. The outcome of this analysis would offer
recommendations to provide effectiveness and efficiency regarding human resource planning
procedure that should be utilised to focus on the problem of employee turnover (Guest, 2017,
p. 22).
Research objectives