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Business Intelligence: An Essential Tool in the Identification of Organizational Internal Talent

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New Contributions in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 354))

Abstract

Although the rampant importance in Human Resources Management often Talent remains operationally just by having a connotation of organizational forefront. However, given the huge and increasingly investment in the development of Talent programs, the goal of this paper is to provide a tool for the design and implementation of indicators that allows organizations identifying their talented one’s, in a more proficient manner, using Business Intelligence systems. Through the match between specific strategies, processes and practices, this paper will set up theoretical and managerial contribution, mainly in the Human Resources domain.

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Author information

Authors and Affiliations

  1. Instituto Superior de Ciências Sociais e Políticas, Universidade de Lisboa, Rua Almerindo Lessa, 1300-663, Lisboa, Portugal

    Carla Caracol

  2. Universidade Europeia, Estrada da Correia, 52, 1500-210, Lisboa, Portugal

    Ivo Dias

Authors
  1. Carla Caracol
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  2. Ivo Dias
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Corresponding author

Correspondence to Carla Caracol .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Alvaro Rocha

  2. Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa Instituto Superior de Estatistica, Lisboa, Portugal

    Ana Maria Correia

  3. DEIS, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  4. DIS, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

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© 2015 Springer International Publishing Switzerland

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Caracol, C., Dias, I. (2015). Business Intelligence: An Essential Tool in the Identification of Organizational Internal Talent. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-319-16528-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-16528-8_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16527-1

  • Online ISBN: 978-3-319-16528-8

  • eBook Packages: EngineeringEngineering (R0)

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