Saving costs with a big data strategy framework

Lakoju, Mike and Serrano, Alan 2018. Saving costs with a big data strategy framework. Presented at: IEEE International Conference on Big Data, Boston, MA, 11-14 Dec 2017. 2017 IEEE International Conference on Big Data. IEEE, p. 2340. 10.1109/BigData.2017.8258188

Full text not available from this repository.

Abstract

Disruptive innovations such as Big Data offer enormous benefits to organizations however they usually come with a cost. Decision makers instinctively seek to adopt such innovative technologies for competitive advantage, however, they also explore ways in reducing implementation costs to a reasonable level. This research was focused on developing and empirically testing a Big Data Strategy framework that helps organizations in aligning their business strategy with the Big Data project in order to identify the potential value before embarking on a full Big Data implementation. The SAVI-BIGD framework was tested in two different organizations and findings reveals that the framework can help organizations identify the potential value of the Big Data project and also to save costs. This paper reports on a second case study testing and suggests how any organization taking ownership and championing the implementation of this Big Data strategy framework could save cost and generate their Strategic Big Data Goals.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	978-1-5386-2715-0
Last Modified:	17 Mar 2021 02:43
URI:	https://orca.cardiff.ac.uk/id/eprint/110794

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item