Quanovo | Data Technologies | Liverpool

Network Analysis

Network Analysis


With the world around us being more connected than ever these connections are quite often represented within our data as well. However, more often than not the valuable insights and subsequent actions these connections can provide are missed out on.

There are several types of networks that can provide analytical insight where Collaboration, Social, Infrastructure, Biological and Communication Networks are just some examples. No matter what types of investigations you are wanting to conduct with your data it can often be the case that network analysis is key to providing comprehension in complex datasets.

Looking at large amounts of connected data through mathematical lenses and employing advanced data analytic techniques can often reveal subtle patterns that are not visible through data exploration of another kind.




Identify Importance

Using proven algorithmic techniques it is possible to identify centres or areas of high importance or high influence within your data. This level of insight can help with cases such as identifying information or process bottlenecks in your business or even identifying your Most Valuable Customers (MVCs) to aid with marketing campaigns.

Gain Understanding

Seeing your data laid out as a network will help you to quickly and efficiently consume and understand it's structure. Having this kind of overview can help you to understand the actual structure of your business compared to its official structure.

Optimise Routing

Modelling certain types of data as a connected network it is possible to apply advanced graph theory techniques and algorithms to provide an optimal route through the network. This can be applied to logistics planning for your business to provide the best possible logistics plan based on the input parameters.

Identify Clusters

One of the biggest advantages of applying network analytics to your data is that of identifying the underlying clusters that exist there. Knowing about these clusters and being able to understand them can help your company target specific segments of your customer base with tailored offers or campaigns.




Optimise Coverage

Appling network analytics to your data can help with optimising coverage problems such as planning the location of a new depot or office.

Analyse Flow

Understanding the internal flow of information in your business can give you understanding of how your organisation truly works on an operation level. This in turn allows you to prune and re-organise your business in an effort to become optimal in its processes.

Identify Knowledge Gaps

Analysing certain data that your company has about its employees using network analytic techniques can easily highlight any gaps or biases in the skills your organisation has, therefore being of use for recruitment and expansion planning.

Assess Stability

Once you have modelled your network it is possible to then test its structural integrity by removing connections, nodes or groups to observe how the network reacts to this loss or addition of information. This can be useful to test dependencies in your organisation.

Organisational Development

Having the insights that network analytics can give you, regarding both the internal and external operations, about your company allows you to make data driven decisions to optimise your business processes.

Team Development

Interaction networks for teams within your business can accurately identify bottlenecks in processes, highly valuable individuals and areas for communication improvement. All of this information can help you to streamline operations between your teams and improve productivity.