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Big data team process methodologies: A literature review and the identification of key factors for a project's success | IEEE Conference Publication | IEEE Xplore

Big data team process methodologies: A literature review and the identification of key factors for a project's success


Abstract:

This paper reports on our review of published research relating to how teams work together to execute Big Data projects. Our findings suggest that there is no agreed upon...Show More

Abstract:

This paper reports on our review of published research relating to how teams work together to execute Big Data projects. Our findings suggest that there is no agreed upon standard for executing these projects but that there is a growing research focus in this area and that an improved process methodology would be useful. In addition, our synthesis also provides useful suggestions to help practitioners execute their projects, specifically our identified list of 33 important success factors for executing Big Data efforts, which are grouped by our six identified characteristics of a mature Big Data organization.
Date of Conference: 05-08 December 2016
Date Added to IEEE Xplore: 06 February 2017
ISBN Information:
Conference Location: Washington, DC, USA

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