Application of data science to reduce employee attrition

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dc.contributor.advisor Villena Román, Julio Cabañas Pujadas, Clara 2018-07-16T08:20:57Z 2018-07-16T08:20:57Z 2016-10 2016-10-06
dc.description.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.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.subject.other Data science
dc.subject.other Data mining
dc.subject.other Employee attrition
dc.subject.other Employee turnover
dc.subject.other People analytics
dc.title Application of data science to reduce employee attrition
dc.type bachelorThesis
dc.subject.eciencia Telecomunicaciones
dc.rights.accessRights openAccess Ingeniería Telemática
dc.contributor.departamento Universidad Carlos III de Madrid. Departamento de Ingeniería Telemática
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