Iniciativas em Big Data e Analytics nas organizações brasileiras: uma pesquisa com usuários da informação

Abstract

From the observation of the growing volume of data, which is generated from several devices, a movement in the corporate world arose in which the organizations turned their attention to the use of all this mass of data, beginning to use them in the most varied processes including the decision-making process and the creation of new products and services, becoming data-driven organizations. With constant technological advancement, computational applications, tools and methods have emerged to facilitate this process, and this set of technologies has become known as Big Data and Analytics, which converge and complement each other in order to utilize and harness all available data for organizations, be they transactional and internal, or external and unstructured. In parallel, organizations are increasingly adopting the technologies and acquiring the necessary human and technological resources to effectively implement Big Data and Analytics in their business environment, with the goal of making analytical capacity and thus gain competitive advantage in an increasingly global and integrated market with the Internet. For that, a theoretical-conceptual survey on Big Data and Analytics was carried out to evaluate how the organizations in the Brazilian market with this initiative are adhering to these technologies in several aspects through a research done with their professionals, be they executives, experts, consultants or business analysts, with the objective of knowing the current scenario in the national scope in organizations that are interested in the technologies because they have professionals with the necessary competences, in this case the users of the information, respondents of the research. The obtained data were analyzed taking into account the means, standard deviation, variance and coefficient of variation and the results suggest that the Brazilian market is currently adhering to these technologies and starting to attribute value to the data, which are becoming increasingly part of the organizational processes, contributing in an agile and effective way.