Well, as an example, if you consider a municipality as an example.... We'll take the car theft case. What happens in a lot of car theft cases is that sometimes it's organized groups that are stealing cars for a purpose: to strip them, sell parts, or actually send the cars to other locations. In other cases, there are joyriders.
Mining the data we have in how the cases are reported and the kind of information we're developing in our investigations allows us to come to some conclusion about what exactly is occurring here. So then we can respond to that, and often we have good ideas about suspects who would be good, prime candidates who could be involved in this.
The best illustration would be in Codiac, in the tri-communities of Moncton, Dieppe, and Riverview. We had cases where they could actually get ahead of the incident and start predicting where the culprits were going to show up. So they would be there in advance of the event occurring and would catch them in the act. When we talk about predictive results from intelligence, that's what we're striving to get to.