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International Conference on Computer Science, Engineering and Education Applications

ICCSEEA 2018: Advances in Computer Science for Engineering and Education pp 683–691Cite as

Research on the Use of OLAP Technologies in Management Tasks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 754))

Abstract

The article is dedicated to research of application of OLAP technologies when management. Much attention in the article is paid to creation of the decision-making support system. Such system is set aside for increase of effectiveness of governing, owing to analysis of data collected for a few years. The author demonstrates structure of data warehouse, on which basis analysis of university’s processes is kept. The article is important because the study uses the latest information technologies like MS Excel, Power BI, Business Intelligence Development Studio. Their use will allow management getting a system that will enhance the position in competitive environment.

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Author information

Authors and Affiliations

  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine

    Daria Yu. Yashchuk & Bella L. Golub

Authors
  1. Daria Yu. Yashchuk
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  2. Bella L. Golub
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Corresponding author

Correspondence to Daria Yu. Yashchuk .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute, Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. Faculty of Applied Mathematics, National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, Florida, USA

    Matthew He

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Yashchuk, D.Y., Golub, B.L. (2019). Research on the Use of OLAP Technologies in Management Tasks. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education. ICCSEEA 2018. Advances in Intelligent Systems and Computing, vol 754. Springer, Cham. https://doi.org/10.1007/978-3-319-91008-6_67

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