Restructuring Dynamically Analytical Dashboards Based on Usage Profiles
Today, analytical dashboards assume a very important role in the daily life of any company. For some, they could be seeing as simple “cosmetic” software artefacts presenting analytical data in a more pleasant way. However, for others, they are very important analysis instruments, quite indispensable for current decision-making tasks. Decision-makers use to defend strongly their use. They are simple to interpret, easy to deal, and fast showing data. However, a regular dashboard is not capable to adapt itself to new user needs, having not the ability to personalize themselves dynamically during a regular OLAP session. In this paper, we present the structure, components and services of an analytical system that has the ability to restructure dynamically the organization and contents of its dashboards, following usage patterns established previously on specific users’ OLAP sessions.
KeywordsOn-Line Analytical Processing Adaptive Dashboards Systems OLAP Personalization Private Data Clouds Multi-agent Systems
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