BIG DATA PROJECTS MANAGEMENT METHODOLOGIES: A LITERATURE REVIEW

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F21%3A00008869" target="_blank" >RIV/46747885:24310/21:00008869 - 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

BIG DATA PROJECTS MANAGEMENT METHODOLOGIES: A LITERATURE REVIEW

Popis výsledku v původním jazyce

Due to modern technologies and smart devices, the amount of miscellaneous data is growing exponentially every year. Data are considered one of the assets of every company. But what is it good for, if the information needed is not extracted and the companies don’t enjoy adequate benefits? Big Data technologies enable analyses of large volumes of structured and miscellaneous data, including data that needs to be processed, almost in real time. Projects aimed at the implementation of this technology are specific from the perspective of their comprehensiveness and therefore their complexity as well. Even though companies keep investing in projects for the implementation of Big Data, the success rate is very unsatisfactory. Therefore, it is necessary to focus on the key factors directly affecting the success of these projects. For the purposes of this study, is created literature review based on articles and papers indexed in academic databases (Scopus, Web of Science) in the years 2010 to 2021 to cover the research subject. The result of this review is the identification of management approaches recommended or used for Big Data projects, which will make the orientation of companies in this issue easier and also can serve as a support in their decision making regarding which approach to the management of such comprehensive projects to use.

Název v anglickém jazyce

BIG DATA PROJECTS MANAGEMENT METHODOLOGIES: A LITERATURE REVIEW

Popis výsledku anglicky

Due to modern technologies and smart devices, the amount of miscellaneous data is growing exponentially every year. Data are considered one of the assets of every company. But what is it good for, if the information needed is not extracted and the companies don’t enjoy adequate benefits? Big Data technologies enable analyses of large volumes of structured and miscellaneous data, including data that needs to be processed, almost in real time. Projects aimed at the implementation of this technology are specific from the perspective of their comprehensiveness and therefore their complexity as well. Even though companies keep investing in projects for the implementation of Big Data, the success rate is very unsatisfactory. Therefore, it is necessary to focus on the key factors directly affecting the success of these projects. For the purposes of this study, is created literature review based on articles and papers indexed in academic databases (Scopus, Web of Science) in the years 2010 to 2021 to cover the research subject. The result of this review is the identification of management approaches recommended or used for Big Data projects, which will make the orientation of companies in this issue easier and also can serve as a support in their decision making regarding which approach to the management of such comprehensive projects to use.

Druh

O - Ostatní výsledky

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

2021

Kód důvěrnosti údajů

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