A Personalization System for Data Visualization Platforms
Orlando Belo, Rui Barros, Paulo Rodrigues, Helena Correia
Progress in Computing Applications, Vol. 5, No. 2, 2016.
DOI: 
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Abstract:
Today dashboards are a clear factor of differentiation for decision-makers, providing critical business indicators
in useful time. They are very important data visualization mechanisms, simple to interpret, easy to deal, and fast on showing
pertinent data. Dashboards provide means for reducing time of information analysis, disposing business indicators in quite
understandable and attractive interface platforms â€“ a â€œsimple and beautifulâ€ way to support business analysis. However,
they use to be static software artifacts having not the ability to evolve, to adapt by themselves to new user needs, tendencies
or preferences. In order to provide such abilities, we designed and implemented a personalization system for data visualization
platforms. All systemâ€™s services, ranging from data gathering to data profiling, were developed using a community of autonomous
agents with the ability to act together using a private data cloud as a cooperative environment. In this paper we present how
the system was conceived, its functional architecture and services, and how agents were implemented, especially the ones
related to the personalization of business dashboards.