Intelligence-led policing

Police forces are beginning to realise that proactively modelling criminal behaviour should be given the same weight as simply reacting to criminal events. Intelligence-led policing (ILP) is the concept that makes this a reality. The ILP revolution supported by the availability of new intelligence technology makes it possible for police forces worldwide to reduce costs and apply their resources as effectively as possible.

In essence the concept is simple. It has long been accepted that crime is perpetrated by a relatively small number of repeat offenders. What is interesting is that their activities can actually be quite predictable when their past behaviour is logged and analysed. So when a crime is committed, its characteristics can produce a list of suspects straight away when entered into the system; and this is before any traditional investigative work has begun. Just a small number of arrests – even one – can snuff out a crime wave and allow neighbourhoods to prosper.

Even more encouraging for police forces is that data can now be shared with other forces more easily than ever before, leading to greatly enhanced intelligence across jurisdictions. But the systemic drawbacks of traditional policing have not necessarily been restricted to jurisdictional borders; even different departments of the same force have experienced insurmountable problems with the sharing of data. A well applied ILP solution utilising Xanalys software will greatly increase the flow of information whilst addressing the unparalleled security requirements.

Xanalys’ ILP solution represents a giant leap forward in the quest to make policing more efficient and effective. By visualisation of the data, it shows relationships, and reveals geographical and temporal patterns that lead directly to persistent criminals’ doors.

Intelligence-led policing has caused a minor revolution wherever it has been applied. Our solution is a vital tool for 21st century policing that fits into the Windows environment simply and securely.