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.
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.
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.
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.
Policing posts from our blog:
In the first of three blog posts, we explore the real world applications for graph visualization, starting with law enforcement and fraud management. Use cases for graph visualization “Data is the n
Human trafficking is a global issue. An estimated 2.5 million people are currently in forced labor, including sexual exploitation, as a result of trafficking, and the majority of victims are aged betw
In a previous post on law enforcement and data visualization, we saw how successful law enforcement agencies understand the wealth of data they have at their disposal. Graphs can reveal trends and giv