Case Study: Telecom Italia achieves greater customer satisfaction through real-time network anomaly detection with SAS Analytics

Building customer satisfaction with better network monitoring

Telecom Italia, which delivers mobile and fixed-line services across a distributed national network, needed to anticipate and prevent anomalies in evolving smartphone and web traffic to maintain service quality and customer satisfaction. The challenge was to monitor large volumes of usage data in real time, detect provisioning issues across many distributed servers, and support business teams with actionable insights.

Using SAS Analytics (including web analytics and short‑term predictive procedures), Telecom Italia forecasts minute‑by‑minute traffic, monitors the national traffic map 24/7, and flags deviations against expected ranges. The platform’s portability, speed and stability let operators detect anomalies faster, reduce the impact of provisioning failures, and give marketing teams rapid usage profiles—resulting in quicker responses, fewer service disruptions and improved customer satisfaction.

Telecom Italia

Roberto Del Ferraro

Multimedia Service Manager