Title :
Advancing value creation and value capture in data-intensive contexts
Author :
Ferrando-Llopis, Roman ; Lopez-Berzosa, David ; Mulligan, Catherine
Author_Institution :
Res. Unit, R-Knowing, UK
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.
Keywords :
Big Data; data warehouses; groupware; Big Data paradigm; business models; collaborative regime; data warehouse model; data-intensive context; private-collective modes; strategic partnerships; technology commercialization; technology development; value capture; value creation; Data handling; Data models; Data storage systems; Information management; Organizations; Technological innovation; 4Vs; Big Data; business models; value creation;
Conference_Titel :
Big Data, 2013 IEEE International Conference on
Conference_Location :
Silicon Valley, CA
DOI :
10.1109/BigData.2013.6691685