What is Network Analyst

[krish]

Networks are at the center of today's world, so understanding how a network works is critical - not only for technical peace of mind, but for the business itself. Now, in an effort to serve customers more efficiently and to gain every possible competitive advantage, network operators are using analytics to gain a deeper understanding of the network. As a result, they can make smarter, data-driven decisions about their operations that help them achieve their desired business results.

Network analytics, in its simplest definition, involves analyzing network data and statistics to identify trends and patterns. Once identified, operators move on to the next step of "acting" with this data, which typically involves a network operation or set of operations. For example, if a network operator detects that there may be a congestion problem in a certain area of ​​the network, traffic can be directed through another part of the network to meet service performance requirements. Typically, this type of operation was performed manually. But now, vendors are complementing traditional analytics with automation and artificial intelligence technologies to enable the next generation of highly intelligent networks - a network capable of dynamically self-configuring or self-optimizing based on changing network conditions.

As networks become more complex and interconnected with user interfaces, persistent devices, and mission-critical applications, each requiring a certain percentage of network resources, the ability to dynamically adapt is critical to maintaining and improving service quality. By using network analytics, providers can act before service outages and penalties begin. This kind of analytics - anticipating a failure before it happens - not only improves the quality of service, which is an important metric in itself, but also leads to higher net promoter ratings, which helps suppliers understand their customers' loyalty.

Some other key benefits of network analytics:

Optimized use of network resources : Analytics can help you understand your network and balance and use resources in the best possible way so you can optimize network performance and reduce costs.
New revenue streams : Analytics plays a critical role in analytics that can identify new revenue streams and create data-driven business models for quick action.
Faster time to market : Analytics can help simplify capacity planning for new services. As a result, the resources required for a new or expanded service can be calculated and then allocated well in advance of launch, ensuring that products are brought to market on time.

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