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Management of Big Data Projects: PMI Approach for Success

Management of Big Data Projects: PMI Approach for Success
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Author(s): A. Aylin Tokuç (Cerebro Software Services Inc., Turkey), Zeynep Eda Uran (Cerebro Software Services Inc., Turkey) and Ahmet Tezcan Tekin (İstanbul Technical University, Turkey)
Copyright: 2022
Pages: 15
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch087

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Abstract

Big data is an emerging area of research that is of interest to various fields; however, studies in the literature and various sources claim that failure rates for big data projects are considerably high. There are different reasons for failure; varying from management processes to the use of wrong technologies. This study investigates how the project management framework proposed by Project Management Institute (PMI) can be effectively adapted to big data projects to reduce failure rates. The application of processes as mentioned in this study can help to eliminate the causes of failure in the early stages of the project; thus, increasing the successful completion rate of such projects.

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