Critical success factors in big data projects

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F20%3A00007789" target="_blank" >RIV/46747885:24310/20:00007789 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Critical success factors in big data projects

Popis výsledku v původním jazyce

The amount of data grows exponentially every year. Organisations are aware of the wealth contained in this data and continue to make greater investments into Big Data technologies as a result. Such investments are intensive in terms of the time required and financing involved, and often do not achieve the expected results. Many Big Data projects result in failure when the project itself is not finished or is completed with significant deficiencies. The root cause of such a high level of failure remains unclear. A large number of critical success factors have been defined for Big Data projects, but these have failed to increase the success rate substantially. The purpose of this paper is to identify those key critical success factors that currently exist and that may be considered critical and not just important. The research is carried out through a questionnaire survey and semi-structured interviews with respondents who have many years of Big Data experience. A total of five basic critical success factors for Big Data projects were identified.

Název v anglickém jazyce

Critical success factors in big data projects

Popis výsledku anglicky

The amount of data grows exponentially every year. Organisations are aware of the wealth contained in this data and continue to make greater investments into Big Data technologies as a result. Such investments are intensive in terms of the time required and financing involved, and often do not achieve the expected results. Many Big Data projects result in failure when the project itself is not finished or is completed with significant deficiencies. The root cause of such a high level of failure remains unclear. A large number of critical success factors have been defined for Big Data projects, but these have failed to increase the success rate substantially. The purpose of this paper is to identify those key critical success factors that currently exist and that may be considered critical and not just important. The research is carried out through a questionnaire survey and semi-structured interviews with respondents who have many years of Big Data experience. A total of five basic critical success factors for Big Data projects were identified.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

IDIMT 2020: Digitalized Economy, Society and Information Management - 28th Interdisciplinary Information Management Talks

ISBN

978-3-99062-958-1

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

459-466

Název nakladatele

TRAUNER Verlag Buchservice GmbH

Místo vydání

Linz, Austria

Místo konání akce

Kutná Hora, Czech Republic

Datum konání akce

1. 1. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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