Operations can use quality data insights for troubleshooting , isolating issues and resolving them according to the actual problem . Capacity Planning or Network Management , meanwhile , can see if the network is congested and whether adding capacity is the solution , or whether just optimising what is already there is the answer .
By planning networks around QoE rather than throughput , operators no longer have to continuously throw endless capacity at problems . Instead , it ’ s possible to predict , plan and invest with forethought and precision . Segmenting the traffic and identifying whether problems are due to the network or something else , allows you to take action more rapidly . For example , if an OTT provider is experiencing server problems , you can proactively let customers know so that your call centres don ’ t get flooded with complaints and your customer satisfaction scores don ’ t suffer .
To summarise , the “ right time ” deployment operators want to start with a foundation of good , quality data . Knowing what will happen helps you automatically take action based on predictions . It ’ s one thing to know history , but another to know what to do now and into the future .
You start to have real power when your data can inform what will happen in the future – and being able to take that action without human intervention is what gets you to automation . Proactive automation then gets you to intelligent networks that automatically respond to what ’ s happening in real time . mobile-magazine . com 109