Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

Eduardo Luis Casarotto, Guilherme Cunha Malafaia, Marta Pagán Martínez, Erlaine Binotto

Abstract


This paper aimed to develop a data-based technological innovation framework
focused on the competitive intelligence process. Technological innovations increasingly
transform the behavior of societies, affecting all sectors. Solutions such as cloud computing, the
Internet of Things, and artificial intelligence provide and benefit from a vast generation of data:
large data sets called Big Data. The use of new technologies in all sectors increases in the face
of such innovation and technological mechanisms of management. We advocated that the use of
Big Data and the competitive intelligence process could help generate or maintain a competitive
advantage for organizations. We based the proposition of our framework on the concepts of Big
Data and competitive intelligence. Our proposal is a theoretical framework for use in the
collection, treatment, and distribution of information directed to strategic decision-makers. Its
systematized architecture allows the integration of processes that generate information for
decision making.

Keywords


Big data, competitive intelligence, technological innovation

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DOI: https://doi.org/10.37380/jisib.v1i1.691

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