CSP networks are sized and optimized in order to deliver, to the subscribers, bandwidth for data services. The ability to measure and assess real traffic indicators versus target figures used at planning stage is a key capability to increase effectiveness of corrective actions on networks.
NUA’s multi dimensional data insights are used to discover unexpected trends or usage patterns of the network resources, for each cluster or technology layer. Insights are on subscribers: presence, interest, main data consumption patterns (e.g. entertainment, social network, browsing, etc…), main application busy hour.
Network Planning and Quality/Optimization teams could leverage these Insights to assess if network sizing and optimized from a configuration standpoint to deliver content that subscribers are expecting.
