Abstract
Data analysis and monitoring is currently carried out within enterprises using Business Intelligence tools that are subject to major limitations (as outlined in the state of the art analysis that we perform). Effective visualization support is a very much needed feature in Big Data applications. In this paper we examine the visualisation requirements of a real world banking application, and identify generic visualisation tasks that are essential for doing effective analysis of a complex process that produces amazingly large amounts of data. The requirements for the visualization support that we propose are modelled using an application wireframe that acts a story-board. The effectiveness of the visualization facilities that we propose is demonstrated through their application to the Big Data banking use-case.
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Acknowledgments
The research leading to these results has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 619606 (LeanBigData Project).
It has been also supported by the Italian Ministry for Education, University, and Research (MIUR) within the framework of the Project of National Research Interest (PRIN) “TENACE”, and by the Regione Campania within the framework of the project “Embedded Systems in critical domains”.
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Coppolino, L., D’Antonio, S., Romano, L., Campanile, F., de Carvalho, A.V. (2015). Effective Visualization of a Big Data Banking Application. In: Damiani, E., Howlett, R., Jain, L., Gallo, L., De Pietro, G. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-19830-9_6
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DOI: https://doi.org/10.1007/978-3-319-19830-9_6
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