Network analytics is any process where network data is collected and analyzed to improve the performance, reliability, visibility, or security of the network.
Today, network analytics processes can be automated, so IT staff no longer need to manually look for and troubleshoot problems or perform other, increasingly complex tasks.
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How does network analytics work?
In network analytics, a software engine analyzes and extracts intelligence from data collected from various sources, such as network devices (switches, routers, and wireless), servers (syslog, DHCP, AAA, configuration database, etc.), and traffic-flow details (wireless congestion, data speeds, latency, etc.).
Network analytics processes are automated and so are more wide-ranging than what can be achieved by manual analysis. Network analysis can scale to many devices, clients, users, and applications, while improving overall user experience and not substantially increasing operating costs.
How can I benefit from network analytics?
The intelligence gathered by network analytics can be used for several tasks, such as spotting bottlenecks, evaluating health of devices, issue remediation, identifying connected endpoints, and probing for potential security lapses.
For improving operations, network analytics compares incoming data with preprogrammed models and makes appropriate decisions. The data is fed into a model of ideal network performance. When a data source detects less-than-ideal performance, the analytics engine recommends adjustments that can enhance performance.
Network analytics may recommend corrective actions for identified issues in the network. These actions can involve guided remediation, where the engine specifies steps for a network administrator to perform, or closed-loop remediation, where it sends instructions to the automation portion of the network controller for changes to be made automatically.
For identifying an endpoint, network analytics peers inside the traffic to and from the endpoint, recognizes protocols, correlates it with data from other sources, and builds a profile for the endpoint.
For detecting potential security issues, network analytics monitors endpoint behavior and traffic (even encrypted) to detect anomalies that might indicate that the endpoint may be compromised, such as by a malware infection.
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