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The Evolution of Business Intelligence with Neuroinformatics

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Advances in Engineering Networks (ICIEOM 2018)

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

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Abstract

The connection among different agents provides data and information embedded in different objects and materials that can challenge the way industry and factories are been running. In this way, Business Intelligence enables Smart Manufacturing and leverage data to improve company performance. Business Intelligence facilitates new insights about product developments from a different point of views: customers, suppliers, manufacturing process, quality, innovation, etc. In twenty-first century, decision-making process in business is being not only evolved but also revolutionized by the way firms are being able to manage information, thanks to new artifacts, like sensors, and engineering methodologies like systems of system engineering (SoSE) and neuroinformatics.

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Author information

Authors and Affiliations

  1. Dpto. Ing. Organización, Admón de Empresas y Estadística, ETSIDI - Universidad Politécnica de Madrid, Madrid, Spain

    Irene Martín-Rubio

  2. Group for Automation in Signals and Communications, ETSIT - Universidad Politécnica de Madrid, Madrid, Spain

    Juan Fombellida & Diego Andina

Authors
  1. Irene Martín-Rubio
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  2. Juan Fombellida
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  3. Diego Andina
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Corresponding author

Correspondence to Irene Martín-Rubio .

Editor information

Editors and Affiliations

  1. Department of Business Administration, Management and Product Design, Universitat de Girona, Girona, Spain

    Rodolfo de Castro

  2. Department of Business Administration, Management and Product Design, Universitat de Girona, Girona, Spain

    Gerusa Giménez

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Martín-Rubio, I., Fombellida, J., Andina, D. (2020). The Evolution of Business Intelligence with Neuroinformatics. In: de Castro, R., Giménez, G. (eds) Advances in Engineering Networks. ICIEOM 2018. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-44530-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-44530-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44529-4

  • Online ISBN: 978-3-030-44530-0

  • eBook Packages: EngineeringEngineering (R0)

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