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Possibilities of Streamlining Within Business Intelligence Systems in Business Practice

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Knowledge Management in Organizations (KMO 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 224))

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Abstract

Management and decision-making in modern companies currently significantly affect information collected and distributed to managers through a variety of information and communication technology (ICT). The amount of information is growing due to modern technologies, their constant development and improvement in companies. This large amount of information companies has to be processed and therefore complex information systems such as Business Intelligence system are used more often. These systems are designed to support deciding of leading workers in the company. They are very difficult and expensive with regard to information infrastructure, technical equipment and staff of the company. To ensure efficient use of these expensive systems it is essential to provide constant mapping and implementing the new trends in the development and use of the systems. This paper describes the possibility of improving efficiency within business intelligence systems in companies.

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Acknowledgement

This paper is supported by the following project: University Science Park of the University of Zilina (ITMS: 26220220184) supported by the Research and Development Operational Program funded by the European Regional Development Fund. KEGA 035ŽU-4/2013.

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Correspondence to Michal Varmus .

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© 2015 Springer International Publishing Switzerland

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Kubina, M., Koman, G., Varmus, M., Takáč, L. (2015). Possibilities of Streamlining Within Business Intelligence Systems in Business Practice. In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-21009-4_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21008-7

  • Online ISBN: 978-3-319-21009-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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