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 . mobile-magazine . com 107