Prediction of increased attrition rate of employee using people analytics
Hassan, Muhammad Bilal (2022)
Diplomityö
2022
School of Engineering Science, Laskennallinen tekniikka
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022050231846
https://urn.fi/URN:NBN:fi-fe2022050231846
Tiivistelmä
The major aim of this thesis is to explore the use of people analytics in people management. This study is a quantitative research which has been conducted using a certain employee data from an online website Kaggle. The machine learning algorithm used for carrying out the analysis is decision tree algorithm. The aim is to determine attrition rate of employees in an organization with the help of people analytics. Therefore, machine learning algorithms have been used to analyze the employee data and find out how the attrition rate can be reduced using data visualizations.
The findings of this research reveal that there are several reasons behind increased attrition rate of employees, which involves different attributes such as satisfaction level of employees, number of projects done by an employee, average monthly salary, time spent at the company, workplace accidents, promotions, and sales. From the findings of this research, it is clear that people analytics improves the attrition rate by identifying the different attributes on which the organization has to work, therefore it is recommended for the companies to use people analytics for managing increased attrition rate of employees as well as train them and perform other HR functions with the help of predictive analytics.
The findings of this research reveal that there are several reasons behind increased attrition rate of employees, which involves different attributes such as satisfaction level of employees, number of projects done by an employee, average monthly salary, time spent at the company, workplace accidents, promotions, and sales. From the findings of this research, it is clear that people analytics improves the attrition rate by identifying the different attributes on which the organization has to work, therefore it is recommended for the companies to use people analytics for managing increased attrition rate of employees as well as train them and perform other HR functions with the help of predictive analytics.