A Patent Analysis on Big Data Projects

Gustavo Grander, Luciano Ferreira da Silva, Ernesto D. R. Santibanez Gonzalez

Source Title: International Journal of Business Analytics (IJBAN)9(1)

ISSN: 2334-4547|EISSN: 2334-4555|EISBN13: 9781683182870|DOI: 10.4018/IJBAN.288516

MLA

Grander, Gustavo, et al. "A Patent Analysis on Big Data Projects." IJBAN vol.9, no.1 2022: pp.1-14. http://doi.org/10.4018/IJBAN.288516

APA

Grander, G., Ferreira da Silva, L., & Gonzalez, E. D. (2022). A Patent Analysis on Big Data Projects. International Journal of Business Analytics (IJBAN), 9(1), 1-14. http://doi.org/10.4018/IJBAN.288516

Chicago

Grander, Gustavo, Luciano Ferreira da Silva, and Ernesto D. R. Santibanez Gonzalez. "A Patent Analysis on Big Data Projects," International Journal of Business Analytics (IJBAN) 9, no.1: 1-14. http://doi.org/10.4018/IJBAN.288516

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.