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Will the big data lead to the savings in overhead cost?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F17%3AN0000008" target="_blank" >RIV/29142890:_____/17:N0000008 - isvavai.cz</a>

  • Result on the web

    <a href="https://msed.vse.cz/msed_2017/article/110-Horak-Josef-paper.pdf" target="_blank" >https://msed.vse.cz/msed_2017/article/110-Horak-Josef-paper.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Will the big data lead to the savings in overhead cost?

  • Original language description

    The submitted paper is based on the analysis of Big Data from the view of savings in overhead costs with the main goal to characterize following possible increase of the financial performance of the company.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50205 - Accounting

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    The 11th International Days of Statistics and Economics

  • ISBN

    978-80-87990-12-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    489-496

  • Publisher name

    MELANDRIUM

  • Place of publication

    Slaný, ČR

  • Event location

    Prague, Czech Republic

  • Event date

    Jan 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article