Big Data and Human Resources Management

The Rise of Talent Analytics

Datos Bibliográficos

ID5936746
AutoresManuela Nocker (University of Essex), Vania Sena (University of Essex, autor de correspondencia)
Año2019
Volumen8
Número10
Páginas273
Fecha de publicación2019-09-29
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Sciences (JOURNAL)
Identificadores de la revistaISSN: 2076-0760 • E-ISSN: 2076-0760
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci8100273
OpenAlexW2976689229
IdiomaEN
Citas recibidas5
Referencias citadas33

The purpose of this paper is to discuss the opportunities talent analytics offers HR practitioners. As the availability of methodologies for the analysis of large volumes of data has substantially improved over the last ten years, talent analytics has started to be used by organizations to manage their workforce. This paper discusses the benefits and costs associated with the use of talent analytics within an organization as well as to highlight the differences between talent analytics and other sub-fields of business analytics. It will discuss a number of case studies on how talent analytics can improve organizational decision-making. From the case studies, we will identify key channels through which the adoption of talent analytics can improve the performance of the HR function and eventually of the whole organization. While discussing the opportunities that talent analytics offer organizations, this paper highlights the costs (in terms of data governance and ethics) that the widespread use of talent analytics can generate. Finally, it highlights the importance of trust in supporting the successful implementation of talent analytics projects

Analytics · Big data · Business · Business analytics · Business Intelligence · Business model · Data Analysis · Data mining · Data science · Function (biology · Knowledge management · Political science · Software analytics · Workforce · AI and HR Technologies · Big Data and Business Intelligence · Big Data Technologies and Applications · Computer Science · Marketing