A conversation with Neil McKinlay, Director of Product Management, Anritsu

Optimizing the network based on QoE requires a high-definition view of QoE, Neil McKinlay, Director of Product Management at Anritsu told us: “No matter where the subscribers are, no matter what device they’re using, no matter what service they’re using, the key thing is being able to understand the experience of each and every device – human controlled or machine, and also, critically, understand why some have a good experience and some perhaps don’t have a good experience, even if they’re located in the same location using the same device, even the same application.”

Analytics is crucial to leverage QoE information: “Big-data technology and customer-experience analytics enable a much more effective way to identify issues, starting from the symptom rather than microscope,
for example: “This is a common denominator for all of these subscribers. Let’s drill in and do the troubleshooting that way.” This way is a much more holistic, top-down view, and looking at the applications is a critical component of that. You can’t separate the apps that people are using from their experience as they are integral to that experience.”

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