In the recent years, the number of social media, such
as Facebook, LinkedIn, Tumblr have been increasing regularly,
have become ideal platforms for a large number of users
at lower costs. However, social media helped companies get
known by a wider public and collect the relevant information’s
about customers, their needs and their expectations. Therefore,
several decision makers have worked on these media to get
extra information about companies and customers. Moreover,
the explosive growth of the amount of data makes their analysis
and usage difficult. Therefore, the collection, analysis and the
storage of these data in a data warehouse are extremely necessary.
Thus, data warehouse modeling from social media should take
into account aspects of social media. This paper proposes an
approach for data warehouse construction from social media.
Precisely, it deals with the conceptual modeling from social media,
especially Facebook and Twitter. The proposed model can predict
the success of the products prospects and improve the existing
products