Case Study: Global Telecom achieves real-time network intelligence with CrowdStrike Falcon Onum

Global Telecom cuts telemetry by 99.8% with CrowdStrike

Global Telecom, a global telecommunications provider, faced significant challenges due to massive volumes of network telemetry data overwhelming its analytics systems and increasing costs. Batch-based processing introduced delays that slowed their detection and response to network issues, while fragmented data from multi-vendor infrastructure required complex normalization. To address this, they turned to CrowdStrike and implemented the Falcon Onum solution.

CrowdStrike deployed Falcon Onum as a real-time data pipeline to process and filter telemetry upstream. This solution reduced data volume by up to 99.8%, cut alerting latency to approximately 230 milliseconds, and achieved up to 70% faster response times compared to their previous batch-processing methods. The implementation provided immediate operational visibility and transformed their network telemetry from a bottleneck into a strategic asset.