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A strategic approach for visualizing the value of big data (SAVV-BIGD) framework

Lakoju, Mike and Serrano, Alan 2017. A strategic approach for visualizing the value of big data (SAVV-BIGD) framework. Presented at: 2016 IEEE International Conference on Big Data, Washington, DC, 5-8 Dec 2016. 2016 IEEE International Conference on Big Data. IEEE, pp. 1334-1339. 10.1109/BigData.2016.7840739

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Abstract

An organization and its environment are mutually related. By implication, as the business environment constantly evolves, business policies and strategies should be dynamic enough to adapt to and align with the changes impacting the organization. The term Big Data is fast becoming a buzz word and it is believed to carry huge amounts of benefits for both industries and academia. Big Data was initially defined by `3V's (Volume, Velocity & Variety) and most recently with additional `V's. While Big Data can greatly influence the operation of an Organisation, there is a need to first visualize the potential value that can be derived from a Big Data project. Therefore, the purpose of this research is to present a Big data Strategy expressed as the SAVV-BIGD framework that can be used to visualize the value of Big Data. Using Design Science Research Methodology, the framework is coined from the Co-evolutionary IS alignment framework by Benbya & McKelvey.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: IEEE
ISBN: 978-1-4673-9005-7
Last Modified: 09 Aug 2019 13:13
URI: http://orca.cf.ac.uk/id/eprint/110795

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