Visualizing Large Graphs Out of Unstructured Data for Competitive Intelligence Purposes

Abstract

In the information era, people's lives are deeply impacted by IT via exposure to social media, emails, RSS feed, chats, web pages, etc. Such data is considered very valuable nowadays since it may help companies to better their strategies. For example, companies can analyse their customers' trends or their competitors marketing interventions and adjust their strategies accordingly. Several decisional tools have been developed but most of them rely on relational databases. This makes it difficult for decision makers to take advantage of unstructured data which today represents more than 85% of the available data. Thus, there is a rising need for a suitable management process of unstructured data through collecting, managing, transferring and transforming it into a meaningful informed data. This paper will introduce a new tool for Big Unstructured Data for the Competitive Intelligence named Xplor EveryWhere (XEW). It will also describe the enhancement brought to its newest feature XEWGraph. This tool, or as described later on the paper, this "Service", offers the decision makers the possibility to have a better user experience regarding large graph visualization on their web browsers as well as their mobile devices.

Graph-based decision making for varying complexity multicriteria problems

“…There is a need for qualified database experts. This is especially important in the case of processing unstructured data from mass sources, when decision-makers must be able to observe large graphs of visualization [8]. In response to these challenges, the article [9] discusses methods that make data visualization more efficient and effective by directly engaging users who specify their requirements for creating visualizations.…”