An iterative methodology for big data management, analysis and visualization

Big Data constitutes an opportunity for companies to empower their analysis. However, at the moment there is no standard way for approaching Big Data projects. This, coupled with the complex nature of Big Data, is the cause that many Big Data projects fail or rarely obtain the expected return of investment. In this paper, we present a methodology to tackle Big Data projects in a systematic way, avoiding the aforementioned problems. To this end, we review the state of the art, identifying the most prominent problems surrounding Big Data projects, best practices and methods. Then, we define a methodology describing step by step how these techniques could be applied and combined in order to tackle the problems identified and increase the success rate of Big Data projects.