The Service Experience Analytics (SEA) module correlates network and service degradation issues with customer experience (CX) impact for a CX-first problem-solving approach using real-time detection and prediction, as well as prescriptive actions with pinpoint accuracy.

Designed for Network & Service Operations teams, Ops-IQ SEA drives towards a self-healing network in a highly dynamic, virtualized network environment delivering optimized service delivery and subscriber quality-of-experience (QoE).

Get Insights from the Experience Score Index

Through real-time streams emerging from a wide network, Ops-IQ SEA determines how subscribers are experiencing a service through a “Service Experience Index”, and the corresponding underlying network behaviour through a “Network Experience Index”.

 

 

customer experience-first approach
customer experience-first approach

Leverage the Right Machine Learning

Depending on the nature and complexity of the use case, Ops-IQ SEA provides a wide variety of statistical and machine learning approaches to provide the most accurate and contextualized operational insights.

Escalate Issues Faster

With an App Store like approach, CSPs can drill down to further monitor service experience and quickly investigate, identify and resolve any service issues.

customer experience-first approach

Maintain the Best Subscriber Experience

Several factors impact the complexity in service degradation, it can be traffic shifting associated with border gateway protocol (BGP) routing changes among others, impacting subscriber QoE.

 

Gain SOC End-To-End Visibility

Gain SOC End-To-End Visibility

Ops-IQ SEA enables the Service Operations Centers (SOCs) to gain end-to-end visibility of a service’s dynamic delivery infrastructure and monitor ML-generated application behavioral fingerprints in real time to detect the slightest aberrations that may lead to a customer-impacting service outage.

customer experience-first approach

Automate Support for Field Ops

Ops-IQ SEA also learns and recommends resolutions for the Field Operations teams before the CX deteriorates substantially.

Get Accurate ML-based Recommendations

Get Accurate ML-based Recommendations

Ops-IQ SEA creates application behavioral fingerprints of network services in real time and presents the analyst with a set of recommended actions that it learns from historical and contextual data.

Most Popular CSP Use Cases

The CX-First Approach of Ops-IQ Service Experience Analytics Coming Soon!