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BIG DATA PROJECT MANAGEMENT APPROACHES IN THE CZECH REPUBLIC

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F21%3A00008870" target="_blank" >RIV/46747885:24310/21:00008870 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    BIG DATA PROJECT MANAGEMENT APPROACHES IN THE CZECH REPUBLIC

  • Original language description

    The amount of data grows exponentially every year and the information obtained from their analysis is an asset of every business. Therefore, more and more companies invest in Big Data implementation and use. However, the technology for processing this data is very complex and it is very difficult for companies to successfully master and operate it as to fully utilize its potential. Projects focused on this issue often end in failure. There are many critical factors affecting success of these projects. One of the most critical factors is appropriate project management. The paper aims to identify the approach which is most often used by companies in the Czech Republic to manage Big Data projects, as well as to assess how successful these projects are. The research is based on data from a research which included a questionnaire survey. The paper determines the most frequently used approach to Big Data project management in the Czech Republic, including the resulting success of such projects as perceived by respondents.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IDIMT 2021: Digitalized Economy, Society and Information Management 29th Interdisciplinary Information Management Talks

  • ISBN

    978-399113261-5

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    429-436

  • Publisher name

    Trauner Verlag Buchservice GmbH

  • Place of publication

    Linz, Austria

  • Event location

    Kutná Hora, Czech Republic

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article