Link analysis for law enforcement

How our technologies help solve the law enforcement data challenge

The policing data challenge

Modern law enforcement agencies have a wealth of data available to them, but an inability to interpret that data across teams and silos is a huge barrier to effective operations.

Internal resources, like record management and computer-aided dispatch systems, collect huge volumes of operational data. So do external data resources, such as call data record, open source and social media data (OSINT), and intelligence data generated through investigations. Combine the two, and we can start to see the potential value of effective data analysis.

Too often, this data sits in silos across organizations. Access at the point of need is hindered, connections go undiscovered and opportunities to prevent crime are missed. In short, police suffer from data overload.

Let’s see how link analysis can help solve the data volume, complexity and urgency challenges faced by law enforcement agencies.

The link analysis solution

Connections are everywhere in policing data. Exploring them with link analysis is an intuitive way for non-data experts to understand large volumes of complex data.

One part of a police force that relies heavily on accurate and fast access data is the contact center. We worked with Microsoft Services UK to help build a response management platform that coordinates 1.1 million crime incidents a year. By incorporating our powerful link analysis technologies directly into the user interface, officers can access live contextual data, helping to ensure a proportionate and timely response that keeps their colleagues safe.

We’ve also helped agencies improve their record management systems. These record details of incidents, including people, locations, vehicles, officers, etc. Presenting these as networks allows officers to build up a picture of events – like an interactive, real-time investigation wall.

A close-up view of some crime data
A close-up view of some crime data

Policing agencies also use powerful link analysis to combine and analyze large volumes of OSINT data from online sources. In this example, we’ve visualized information from online adverts to help understand human trafficking patterns.

Human trafficking patterns, derived from online adverts
Human trafficking patterns, derived from online adverts

White paper: Lawful interception

Visualizing communications data as a network is an intuitive and efficient way of uncovering data insight. Learn how our technologies can make your lawful interception activity simpler, faster and more effective.

Download the white paper

Why choose us?

At Cambridge Intelligence, we build link analysis technologies that help law enforcement understand the complex connections in their data. They break down data silos, helping forces carry out better investigations, uncover richer intelligence, and perform safer, more efficient operations.

In particular, our technologies help overcome the specific data challenges facing modern policing:

  • Volume – we’ve carefully designed our technologies to provide outstanding performance, even when visualizing large datasets typical in a policing environment.
  • Complexity – the node-link model is an intuitive way to make sense of complex data connections.
  • Urgency – our software harnesses modern web technology, meaning they work on any device with access to a web browser. This means staff can access data from any location, at the point of need.
  • Silos – our software is datastore agnostic. Data can be pulled from any source, including the older databases that many law enforcement agencies rely on.

Find out more

We work with forces and systems integrators around the world, helping to build the next generation of data analysis and visualization platforms for law enforcement. If you’d like to learn more, request a trial of our technology or get in touch.

Try our technology

Policing posts from our blog:

Graph visualization use cases: Law and fraud

In the first of three blog posts, we explore the real world applications for graph visualization starting with law enforcement and fraud management.

Investigating human trafficking with graph visualization

Using data from online adverts, we explore a graph visualization-led approach to understanding human trafficking patterns.

Visualizing crime patterns data as a graph

We take a Neo4j graph database of real-life crime incidents in Boston and apply graph visualization techniques to find insight in complex connections.

Read more about law enforcement