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This paper aims to describe the use of Scrum agile method for an academic prototype system development using Big Data, Internet of Things, and Mobile Devices, as a solution for detecting and reducing fraud on credit card transactions. It highlights the involvement of graduate students in the Brazilian Aeronautics Institute of Technology (Instituto Tecnologico de Aeronautica - ITA), during the first Semester of 2015. The major contribution is a Proof of Concept (PoC) development, by using an Interdisciplinary Problem Based Learning (IPBL), where students geographically dispersed, from three different courses, worked into a real problem and had to develop a solution within seventeen weeks. At the end of the project, it was possible to deliver an academic prototype system, where mobile devices were able to carry out transactions with performance, using Internet of Things (IoT), and enabling data mass analyses within a Big Data environment in a transparent way. |
