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Putting Network Data to Work

Putting Network Data to Work

Posted On Oct 9, 2021

The complexity and stress placed on enterprise networks will rapidly surpass our ability to manage them effectively over the next decade

The complexity and stress placed on enterprise networks will rapidly surpass our ability to manage them effectively over the next decade. This will stifle corporate growth, create performance bottlenecks, and jeopardize the customer experiences that network teams are striving to provide. The crisis' leading indicators are simple to track.

An average of 4,400 monthly occurrences affecting wireless networks was discovered in a survey of over 600 enterprise networks. We expect the deluge of difficulties to rise as firms hurry to support a mixed workforce. Connectivity is a vital network function for hybrid enterprises, and disruptions caused by authentication, DHCP, DNS, and other issues cannot be permitted to bring the business to a standstill.

However, when IT spends the majority of its time debugging hundreds of occurrences per day, it's tough to find time to conduct the vital work that will propel the company forward. As a result, the team's capacity—and the network they support—is harmed. A capacity issue that is difficult to solve IT teams need improved tools to help them adjust faster, troubleshoot more precisely and free up time to effectively prepare for future capacity needs in order to break this bottleneck and avoid single points of failure that jeopardize network resilience..At Cisco Meraki,  intelligent, data-defined networks empower CIOs to quickly adapt to change, increase capacity effectively, and better prepare for the future. This is the core of a data-defined network, an architecture that can not only quantify the impact of an occurrence but also provide exact evidence about the root cause and swiftly point to a recommended solution.

Data-driven decision-making: Any investment in AI and ML, beyond basic analytics and insight, must be in the service of the desired consumer outcome.

Data depth and breadth: More data beats a better model every day of the week when it comes to delivering meaningful, contextual recommendations. The greatest systems can learn from data collected not only from your network but from millions of others. This breadth and depth are essential for making informed decisions.

Comtech Systems’ experienced consultants can guide you to the ever best solutions you required during these scenarios.



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