To empower its team and make the insight generation process as effective as possible, the CTP director decided to leverage Neo4j graph technology. « As soon as we learned what graph technology was, we wanted to move to it because it was so clearly optimal for the kind of work we do. »
They built their data-intelligence platform with a data ingestion and management system based on a Neo4j database and Python scripts. Linkurious Enterprise provided the graphical user interface layer, with visualization capabilities, to let analysts visualize entities both as networks and geographically.
« Linkurious Enterprise was the only tool we found that allowed us to update dynamically a database without any user intervention and that could produce publication-ready graphics. We now use it for entity network mapping and visualization on a daily basis. »
The CTP team uses the interactive graph visualization interface of Linkurious Enterprise to dynamically explore the networks of data collected beforehand. With the help of the geo-spatialization feature, analysts can visualize geo-localized data to unveil and understand patterns of events.
« We were already able to geo-visualize data, using Google Earth, but the stylization was unimpressive and, again, did not dynamically update. The geo-visualization feature of Linkurious helped us get to a much more optimal solution of that problem as well. »