Critical success factors in big data projects
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Critical success factors in big data projects
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
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 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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Number of pages
8
Pages from-to
459-466
Publisher name
TRAUNER Verlag Buchservice GmbH
Place of publication
Linz, Austria
Event location
Kutná Hora, Czech Republic
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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