Case Study: Sopra Steria achieves proactive telecom network resilience with Neo4j

Real-Time Telecom Network Resiliency Relies on a Graph-Based Digital Twin

Sopra Steria, a leading advisor to top European telecom companies, faced the challenge of helping telecom operators anticipate network disruptions and failures before they happened. Their clients needed a way to overcome fragmented data, limited end-to-end visibility, manual errors, and outdated planning data, and Sopra Steria turned to Neo4j’s graph database capabilities and Neo4j visualization tools to build the Intelligent Network Analyzer (INA).

Neo4j powered INA’s digital twin of network topology, enabling near real-time simulation, automated routing optimization, and interactive troubleshooting of traffic flows and failures. The result was a solution that could run complex queries in seconds instead of up to a week, helping analysts quickly identify impacted sites, reroute traffic, pinpoint root causes, and accelerate remediation with a more accurate, predictive view of the network.

Sopra Steria

Andreas Lattoch

Principal Architect, Telecommunication