Advancing value creation and value capture in data-intensive contexts

Ferrando-Llopis, R, Lopez-Berzosa, D and Mulligan, C (2013) Advancing value creation and value capture in data-intensive contexts Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013. pp. 5-9.

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Abstract

Realizing the vast potential for value creation that Big Data has to offer to firms and public agencies requires a radical departure from the traditional data warehouse model currently in place in most organizations. Given the inability of current approaches to integrate the four dimensions of volume, variety velocity and veracity into a single and coherent framework, new business models around the Big Data paradigm will likely be developed in a collaborative regime in which technology firms, public entities and end customers will organize around ecosystems, strategic partnerships or private-collective modes of technology development and commercialization. © 2013 IEEE.

Item Type:	Article
Divisions :	Surrey research (other units)
Authors :	Ferrando-Llopis, R, Lopez-Berzosa, D and Mulligan, C
Date :	1 December 2013
DOI :	10.1109/BigData.2013.6691685
Depositing User :	Symplectic Elements
Date Deposited :	16 May 2017 15:31
Last Modified :	24 Jan 2020 14:54
URI:	http://epubs.surrey.ac.uk/id/eprint/820254

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