Proposição de um modelo para estruturação de projetos de big data

Abstract

Data are strategic assets that can generate valuable results for organizations when properly treated. More and more organizations are making decisions driven by data and less and less by intuition. This situation makes the successful implementation of Big Data projects essential for the progress of organizations. Based on this context, this thesis aims to propose a management model for structuring Big Data projects. Therefore, the research consisted of four studies comprising three articles and a utility model claim. The first study analyzed how Decision Support Systems manage Big Data to obtain value and resulted in the first article. The second study explored the structure and context of a Big Data project. The third study sought to understand the characteristics of patents related to Big Data projects resulting in the second article. Finally, in the fourth study, a managerial model for structuring a Big Data project was validated, considering the strategic, technological and analytical phases. This latter study, together with the second, constitutes the third article. Due to its managerial aspect, the model proposed in this thesis can be applied to projects from various areas and sectors. As a theoretical contribution, machine learning techniques and technologies, such as cloud computing, have been used in Decision Support Systems and for identifying patent groups directed to cloud computing, optimization of solutions, and structures data storage and sharing. As a practical contribution, the intellectual property claim of the utility model stands out since our model can be employed by professionals and academics who seek solutions to increasingly significant problems in our society through the use of data.