The unique value of an App QoE-led approach
There are four steps to uncover and deliver meaningful data:
• Step one: Classify the app data. You have to classify that data to recognise which app is generating that data.
• Step two: Categorise the content. With many categories of apps, you might have video, voice, chat, and gaming content all in the same flow. For example, Uber is not a single app but rather a series of apps, such as Uber, UberEats, Uber Freight, Uber Same-Day Package Delivery, Google Maps, 3rd-party geolocation services, GPS tracking, and payment services. With Netflix, you may stream a movie or download a movie while simultaneously browsing content. To understand the application, you have to“ look under the hood” to categorise the traffic and the content within the app.
• Step three: Identify the context – who, what, and where. Who( which subscriber) is driving on what access network and device, and where is that subscriber? Within the same packet of data, and same flow, you can get different contexts that can further enrich the data, deriving more meaning from the data. For example, if a person is having a poor experience, and they are paying for 2mbps rather than 10mbps, then is there a way to better match the subscriber to the best plan for his / her usage?
• Step four: Score the QoE. Within the identified context, the score articulates the QoE is delivered by that data to that subscriber. The insights we deliver help telcos know if the App QoE is satisfactory for each subscriber on the network. sandvine. com 15