Social Business Intelligence (SBI) relies on user-generated content to let decision-makers analyze their business in the light of the environmental trends. SBI projects come in a variety of shapes, with different demands. Hence, finding the right cost-benefit compromise depending on the project goals and time horizon and on the available resources may be hard for the designer. In this paper we discuss the main factors that impact this compromise aimed at providing a guideline to the design team. First we list the main architectural options and their methodological impact. Then we discuss a case study focused on an SBI project in the area of politics, aimed at assessing the effectiveness and efficiency of these options and their methodological sustainability.

Social Business Intelligence in Action / Francia, Matteo; Gallinucci, Enrico; Golfarelli, Matteo; Rizzi, Stefano. - ELETTRONICO. - (2016), pp. 33-48. (Intervento presentato al convegno 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) tenutosi a Ljubljana, Slovenia nel June 13-17, 2016) [10.1007/978-3-319-39696-5_3].

Social Business Intelligence in Action

FRANCIA, MATTEO;GALLINUCCI, ENRICO;GOLFARELLI, MATTEO;RIZZI, STEFANO
2016

Abstract

Social Business Intelligence (SBI) relies on user-generated content to let decision-makers analyze their business in the light of the environmental trends. SBI projects come in a variety of shapes, with different demands. Hence, finding the right cost-benefit compromise depending on the project goals and time horizon and on the available resources may be hard for the designer. In this paper we discuss the main factors that impact this compromise aimed at providing a guideline to the design team. First we list the main architectural options and their methodological impact. Then we discuss a case study focused on an SBI project in the area of politics, aimed at assessing the effectiveness and efficiency of these options and their methodological sustainability.
2016
Proceedings 28th International Conference on Advanced Information Systems Engineering
33
48
Social Business Intelligence in Action / Francia, Matteo; Gallinucci, Enrico; Golfarelli, Matteo; Rizzi, Stefano. - ELETTRONICO. - (2016), pp. 33-48. (Intervento presentato al convegno 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) tenutosi a Ljubljana, Slovenia nel June 13-17, 2016) [10.1007/978-3-319-39696-5_3].
Francia, Matteo; Gallinucci, Enrico; Golfarelli, Matteo; Rizzi, Stefano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/549909
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