Risk models to allocate public safety resources better

Violence, emergencies and urban crime are growing, resources are limited and information is spread across sources that do not talk to each other. Police resources are allocated without risk prediction and the response comes late.

We build risk and incident models by area and time of day, and bring them to dashboards that prioritize where and when to act.

It brings together incident reports that are scattered today, detects risk patterns with predictive models, prioritizes critical areas and shows them on action dashboards. That lets you steer patrols and prevention with risk maps and alerts instead of reacting after the fact.

The territorial dashboard brings safety indicators together in one view: crimes by category, gender-based crimes, thefts, accidents with victims, crimes this year compared with the previous period, and thefts in recent months by type.

It has separate views for crimes, homicides, thefts and injuries, so each team quickly finds what it needs to review.

The model works with reported crime cases by territory and year. Each department is identified by its DANE code (Colombia's official statistics code), so the data can be matched unambiguously with other official sources. We follow the CRISP-DM methodology in six phases, from understanding the need to deployment.

For the agencies that decide where and when to prevent. It adapts to cities of any size and uses data that can be shown, which helps build public trust.