What’s happening today
Enterprise networks have become too complex for bandwidth-centric monitoring. - Cloud adoption, SaaS “super-apps”, encrypted traffic, hybrid work, and distributed users create blind spots. - Peaks and “critical moments” happen everywhere: check-in waves, flight disruptions, event surges, class changes, shift changes. - IT and NetOps teams get “it’s slow” tickets without context—so MTTR rises, costs rise, and SLAs get harder to defend.
What’s missing
Most tools watch links, equipment and devices—not experience. - Limited visibility into application and user experience, SLAs, and productivity. - Too few metrics and weak contextualization across critical dimensions. - Inability to answer the questions that matter: - Which apps are impacting productivity? - Where is QoE degrading—and why? - Which users, locations, or services are affected? - How did a change impact experience before/after?
What Enterprise Insights is
Enterprise Insights is the observability, dashboardand AI layer in the ForeSight Enterprise Suite. It correlates performanceacross applications, content types, users, user groups, devices, locations, andtime—so NetOps and IT can move from dashboards to decisions.
The 360° model
1) High-fidelity real-time telemetry - Real-time metric capture at up to 250ms granularity. - 18 detailed network performance metrics including throughput, volume, latency, packet loss, jitter, directionality (upstream/downstream), and internal vs external views.
2) Best-in-class app + content intelligence - AppLogic application identification and content classification with >95% accuracy and 3000+ application signatures. - Works reliably on encrypted traffic and differentiates content type (so “video” isn’t treated as one thing).
3) ML-based QoE scoring (AppQoE) - ML models tuned to the 18 real-time metrics generate precise QoE scores by application and content type. - Scores translate complex telemetry into concise, actionable signals.
4) Enterprise Insights dashboards + workflows - Network overview dashboards surface top KPIs and scores. - A multi-dimensional, time-series data model enables drill-down and drill-across workflows. - Real-time monitoring enables “in-the-moment” diagnosis.
