The Intelligence Management functional block focuses on the processes related to big data analytics using the operational data produced by the other functional blocks. This functional block employs techniques for data analysis, such as trend analysis, correlation and data aggregation needed for network performance evaluation, but also for marketing and sales forecasting. The insight management capability enables this block to uncover new patterns and relations based on historical data, using popular approaches based on artificial intelligence and machine learning. Another functionality of this block is the implementation of closed control loops that can configure and then adapt in real-time the state of a resource or a network using cognitive algorithms.
Monitoring in the SPA is activated as a part of the process of provisioning a new circuit, and then deactivated within the process of circuit termination.
SPA also supports interfacing with standard performance management components that follow the TMForum specification on exposing, starting and stoping service tests.
At the moment no automated control loop or alarm is implemented.