Arquitetura de Business Intelligence para Location Based Services

Abstract

Having been found that, in accordance with Kargin, the Location Based Services (LBS) haven’t yet the desired degree of acceptance and that according to Roto and Kaasinen it is necessary to improve the user experience of the LBS, this dissertation aims to make a contribution in this way (Kargin et al., 2007) (Roto & Kaasinen, 2008). This dissertation intends to contribute on improving the user experience of the LBS by studing the hypothesis that the Business Intelligence (BI) reference architecture may not serve the current needs of LBS. It is made in this dissertation an analysis of the adequacy of the BI reference architecture to LBS starting from the needs of the LBS, synthesizing them and making a further analysis point by point. Having been done the analysis and having been found points in which the BI reference architecture needs to be changed to best meet the needs of LBS it is made a proposal for a BI architecture that gives a contribution to better meet the needs thereof. The elaboration of the proposed architecture, begins with the aspects identified in the analysis in which the reference architecture fails to respond to the requirements of the LBS and establishes as a goal the resolution of these flaws. Throughout this dissertation could be concluded that the BI reference architecture has two aspects in which fails to respond to the needs of LBS, are they managing contextual user in real time and respond, also in real time, to user requests given the challenges arising from the use of this type of service on the move and the need that emerges of processing posítioning information in real time. With the proposal of architecture developed in this dissertation it is intended, on a compromise solution, through changes in the BI reference architecture, to make a contribution so as to better meet the needs of LBS.

Date of Award	Oct 2012
Original language	Portuguese
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Paulo Amaral (Supervisor) & Tito Lívio dos Santos Silva (Supervisor)