A social media approach for improving decision-making systems

Abstract

The appearance of social networks has revolutionized the way of interaction and exchange of information on the internet, and has led to an explosion of data on these networks. The availability of this data via a set of APIs triggered a wave of initiatives and work aiming to make use of this massive amount of information in order to extract knowledge that will facilitate the decision-making process. In fact, due to growing business competition, leaders from different sectors have already started using reporting tools, making it possible to provide reliable and relevant analyses at the right time. In this paper we present an approach for improving an existing decision-making system by combining its core datawarehouse with a social one. This social datawarehouse built using extracted tweets will expand the analyzes possibilities of the existing system, and will allow carrying out various analyses, facilitating the decision-making process, and this for any sector.