As fixed and mobile networks continue to expand in size and complexity, the delivery of a great customer experience will become increasingly dependent upon the ability to maintain constant visibility into network performance. AI-enabled network health scores provide the real-time observability necessary to maintain peak network performance.
Network heath scores provide qualitative analytics into a wide range of network performance metrics.
A measurement, in milliseconds, of the amount of delay in transferring data across the network.
A measurement in the amount of variance in data latency.
The rate at which data is transmitted between devices on the network.
The maximum amount of data (bytes per second (bps)) that a network connection can transmit within a specific amount of time.
A measurement of the amount of time (in %) that a network is fully operational. A key component within NQoS (network quality of service).
The percentage of data packets that are dropped/lost during transmission and fail to reach their target destinations.
Real-time measurement of the percentage of total network capacity that is being consumed and the amount of existing headroom.
Operators and service providers can troubleshoot issues down to a specific root cause (device, tower, network hardware, etc.) and take quick, accurate, action to eliminate the problem.
Operators can quickly determine the effects of negative performance on user experience. User experience data generates deeper insights into customer satisfaction, behavior, and loyalty.
An onboard visualization engine provides live observability into the performance and health of the network. Health scores provide at-a-glance status and alerts.
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