Reduce MTTR, with fewer impacted subscribers using Augmented Analytics
eoMind uses streaming analytics to detect subscriber-affecting issues. Using patented machine learning algorithms, eoMind automatically detects anomalies in behavior for subscribers, isolates the root cause and then closes the loop using intelligent automation with a customizable suite of next best actions.
It does it faster, with high accuracy, reduces mean time to resolution (MTTR) and, with cases closed faster, significantly reduces knock-on impacts to subscribers. eoMind is real-time Automated Assurance for service providers around the world looking to move to Smarter Operations.
Reduction in MTTR
Proven reductions of 25% in the meantime to resolve issues for customers freeing up valuable expertize to work on critical issues.
Decrease in impacted subscribers
With issues detected faster and closed sooner, overall knock-on impacts to subscribers are reduced with savings on calls to care and fewer escalations.
250 configurable next best actions available for common issues, saving time and money, with the library of actions garnered from customer installations increasing all the time.
Lightweight, data agnostic, impactful
Focusing uniquely on subscriber issues, eoMind is resource-light yet impact-heavy and can be used to target improvements with Corporates, VIPs, particular technologies or device rollouts.