Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. Despite the increasing diffusion of SBI applications, only few works in the academic literature addressed the specificities of this applications. In this paper we report some of this distinguishing features and discuss possible solutions.

Golfarelli, M. (2014). Social business intelligence: OLAP applied to user generated contents. SciTePress.

Social business intelligence: OLAP applied to user generated contents

GOLFARELLI, MATTEO
2014

Abstract

Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. Despite the increasing diffusion of SBI applications, only few works in the academic literature addressed the specificities of this applications. In this paper we report some of this distinguishing features and discuss possible solutions.
2014
ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications
IS11
IS19
Golfarelli, M. (2014). Social business intelligence: OLAP applied to user generated contents. SciTePress.
Golfarelli, Matteo
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/521678
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact