Publication: Application of data science to reduce employee attrition
Loading...
Identifiers
Publication date
2016-10
Defense date
2016-10-06
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Impact
Export
Abstract
Retaining valuable employees and preventing their resignation is a matter that can make a company save a considerable amount of time and money. Traditionally, this task had been carried out by the Human Resources department of the companies, who would regularly conduct interviews among the employees in order to subsequently analyse them and try to extract conclusions and patterns that could help them understand the reasons why employees leave and thus, prevent the resignation of other employees in the future.
Nowadays, with the existence of Data Science and prediction techniques, this task can be automatically done, which allows the managers of the companies to obtain the information they require from the employees in a much faster and efficient way than it was obtained in the past when the task was done manually by the Human Resources department. This results in a significant decrease of the costs associated with employee attrition, maximizing the revenue of the company.
Description
Keywords
Data science, Data mining, Employee attrition, Employee turnover, People analytics