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. sandvine. com 17