Case Study: US Telecom Operators improve telecom service quality with Technosoft Corporation’s predictive analytics

Predictive Analytics to Improve the Quality of Service of Telecom Equipment

The customer, a top 3 US telecom operator, was experiencing frequent network failures from faulty components like routers and servers, which impacted service quality and risked customer churn. They engaged Technosoft Corporation to implement a predictive analytics solution to identify these faults and patterns to minimize downtime.

Technosoft’s solution utilized R and Spotfire to analyze telecom equipment logs, extracting keywords and performing frequent subsequence pattern mining to predict failures. This approach helped the client significantly reduce production downtime and avoid high repair costs, thereby enhancing their service quality and maintaining business continuity.