Network Intelligence

We all know what the term ‘network’ means for different industries. In business and in technology, the major key to success is forming a network that ensures healthy relationships with the target audience. This is where Network Intelligence (NI) must come into play. It can be defined as the process of creating a bond with your clients, which goes beyond the organizational circle.

Gartner describes NI as a technology that helps communications service providers (CSPs) capture information from the network traffic, which is then analyzed using tools to fabricate policies that can influence customer experience and services offered that improve business productivity.

Network intelligence is a highly robust practice that technologists must put into the process. With the aim to reform digital experiences across the globe, NI is the understanding of topologies and behavior that lead to better IT decision making.

How can we use Network Intelligence?

Any application or service being over a network can be used under network intelligence.

1. NI is very useful for cloud migration projects and analyzing performance challenges. Whether a network error occurs from inside the business or from the cloud service provider, it is essential to determine the root cause to take action for fixing performance issues.

2. It can play a major role in data security of an organization. As the number of companies adopting cloud technology is increasing, the need for the powerful authentication process and security measures are also growing.

3. Tools of NI can help monitor the application performance and give a view of the network infrastructure making them extremely valuable.

4. Also, NI can obtain web page statistics like page load and transaction timing, and analyze its performance for issues.

Features of Network Intelligence

NI works on the concept of instant knowledge transmission and open interpretation, enhancing innovation and growth.

Let us take a look at its features.

I. Transmission of Knowledge
It goes without saying that businesses run on data. IT and business have formed a close relationship where the former is absolutely necessary to run the latter. Thus, it is imperative to transmit knowledge for problem-solving. But to do that, IT professionals are first required to gather knowledge. Here, NI is a smart tool with its ability to decode a network and report the knowledge for effective problem-solving.

II. Flexible Interpretation
Having rules is useful, but do not let those rules or guidelines hinder your creative thought process. IT workers want to exercise their brains and not just play by the rules to the point of automation. Ideas must be entertained in a positive setup and not compared to old cases.

III. Principal Beliefs
These beliefs or laws can be quite the hindrance for a creative mindset. Innovation and ideas are always welcome. But IT professionals are often stereotyped as solving issues just on the narrow path and not exploring their inventive capabilities. That is not true, and with NI tools, this will no longer be the case.

IV. Intellectual Ownership
A crucial step for innovation to succeed in letting go of ownership and sharing your ideas with everyone openly. This practice nowadays is becoming increasingly common among IT departments. With NI, the focus changes to the application of knowledge instead of ownership.

Now that we have understood the importance and core characteristics of network intelligence, let’s put them into practice.

‘Make a collective Decision > Create a list of experts > Utilize online tools > Improve your skill set > Initiate the use of NI for problem-solving’

These five steps are primary in the application of NI in a business process. In the upcoming future, most of the pressing problems will be solved by tapping into networks.

Key to Customer Satisfaction

The objective of applying network intelligence is to enhance customer experience and keep them on high priority, regardless of circumstances. Analyzing a user’s behavior and delivering beyond expectation remains a constant challenge for operators. Currently, all data and operations are done manually on plain baselines.

The sophistication of machine learning will simplify and automate the process, to recognize unlisted events and spontaneously take necessary steps, to ensure customer experience remains unaffected. Working intelligently with developing resources and taking quick action (even if it is automated) to prevent the customer from struggling and make them feel important.

There is no denying that issues may arise from time to time. But with network intelligence, the operator has full network visibility and the tools to analyze the root cause of the error and troubleshoot accordingly.

What the future holds?

As technology grows, so does our impatience – we need results and we need them quick. Automation is the way of delivering speedy reports, but the operator needs to be well-versed in utilizing those tools. Thus, there is a need to look at the existing process and gain insight into where automation can make the most impact.

Keep in mind that the prime focus is always on the customer. Automation can complete a process with a hundred times the current speed and enhanced accuracy, ultimately bringing in better results for the customer. The end goal is to apply network intelligence and cater to the needs of the customer in the most effective way possible.

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