To empower its team and make the insight generation process as effective as possible, the CTP director decided to leverage Neo4j graph technology, along with Linkurious Enterprise. "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."