A network is the heart of a company’s operations. Businesses rely on their network to transmit data across their entire infrastructure. As such, their network needs to be functioning at an efficient and reliable level. It isn’t just enough for a network to be running anymore; enterprise networks must meet the performance levels that businesses expect of them. Networks generate a ton of data that can be analyzed to understand performance, which has given rise to the concept and application of network analytics.
Network analytics refers to analyzing network data to identify and understand trends and patterns occurring on your network. Enterprise networks are growing in both size and complexity every single day. In order to keep a massive network operating smoothly, IT departments need to leverage network data to gain deep insights and find performance trends. Below, we explore what network analytics reveals to enterprises and how they can use it to their advantage.
The benefits of network analytics
Analytics can reveal a ton of information about your network. Finding network performance trends and gathering historical network data can provide huge benefits to your enterprise.
Discovering network performance trends
Every network team needs to know how their network is behaving at all times. However, rather than just have a single-moment view of network performance, it’s also important to understand why your network behaves the way it does. Analytics provide insights into your network’s performance, such as peak operating times and how much of your network’s resources are typically used. You can also discover trends like times of day when your network is busiest or which devices on your networks generate the most traffic.
Predicting performance issues
The reason why businesses implement analytics is to help pinpoint why specific issues happen. What does the data indicate as the cause of a major problem with your technology? When you use analytics to determine the signs and causes of problems, you can use that data to predict when that problem could happen again. By using historical analytical data, your enterprise can potentially prevent future performance issues if network data suggests a repeated event.
How to successfully implement network analytics
While analytics can provide major benefits to your enterprise, it won’t make a difference if you don’t have a solid analytics strategy in mind. Your network creates a massive amount of data and all of that data needs to be considered to have accurate analytics.
Proper network analytics tools
The application of analytics to networks is still relatively new, but already, companies have designed solutions and tools that provide network analytics capabilities to enterprises. These tools are essential for proper analytics since they have the power necessary to process and interpret every bit of data a network generates. Also, with AI and machine learning functionality on the rise, these solutions can provide intelligent, automated network insights.
Full network visibility
Network analytics don’t mean anything if you’re only examining a portion of your network. Otherwise, the results of your data analysis will be skewered towards whichever area of the network you analyze. You need to ensure that you gain a holistic view of the network when applying an analytics solution.
Looking for a solution to help you improve your network performance? Our Network Monitoring Buyer’s Guide contains profiles on the top network performance monitor vendors, as well as questions you should ask providers and yourself before buying.
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