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Big Data Monetization: Discoveries from a Systematic Literature Review

Authors:
Domingos S. M. P. Monteiro
Luciano de A. Monteiro
Felipe S. Ferraz
Silvio R. L. Meira

Keywords: Big Data; Big Data Monetization; Analytical Techniques; Artificial Intelligence; Systematic Literature Reviews; Digital Assets.

Abstract:
This study investigated how monetization of data in a Big Data environment has been suggested in academic literature. Our goal was to find out what methods have been applied to determine the relevance and value of data in these environments and if these methods are based, in any way, on information theory. In order to come to a conclusion, we applied a formal process of systematic literature review based on the methodology suggested by Kitchenham. The results showed that, in spite of the progress made on the topics of Big Data and the application of analytical methodologies over the last decades, there is no method based on data that is widely used to determine the value of a datum in a Big Data environment. By observing the results, it is possible to conclude that little attention has been given to the dimension Value in academic studies related to Big Data when compared to searches directed to the other three classical dimensions (Volume, Velocity and Variety). More specifically, in terms of economic value, studies are even scarcer, and the existing ones do not share a common view on how to measure this value. If, on the one hand, monetization in Big Data environments is still a field that needs to be better explored in academic literature, on the other hand, these intangible assets, i.e., data, grow exponentially and are more and more present in the corporate world. It highlights the opportunity to develop studies in search of standards that can be widely accepted and used to this end.

Pages: 54 to 60

Copyright: Copyright (c) IARIA, 2020

Publication date: October 25, 2020

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-816-7

Location: Nice, France

Dates: from October 25, 2020 to October 29, 2020