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Crime forecastDataDetective plays a key role in the information supply chain for a growing number of police forces in the Netherlands. After a short training session, police officers can easily discover patterns and trends, make forecasts, find relationships and possible explanations, map criminal networks and identify possible suspects. The unique data mining technology of DataDetective is applied to a large analysis database (data warehouse) containing data from various police systems and external sources, such as weather data, sociodemographics and maps.

The application of DataDetective in law enforcement has yielded an impressive track record, when compared to conventional methods. Analysts estimate that DataDetective has made their work 10 to 20 times more efficient. Searching a person using a description leads to the right match 50% more often. A comparative study has shown that criminal activity has dropped over 15% due to measures that were based on DataDetective results.

“DataDetective is used more and more in our police work. It adds important value because insight in trends and developments is easily gained, enabling the organization to react quickly and adequately. This makes tracking down criminals more efficient and more focused.” [Mick Hoff – police inspector]

Examples of police data mining

  • Creating a forecast map of a specific crime type in a given context: date, time, weather, etc.
  • Finding series of incidents with similar MO and suspect descriptions.
  • Determining possible suspects by comparing cases with incidents from the past.
  • Finding explaining factors for a trend or a particular behavior.
  • Mapping networks of criminals.
  • Finding combinations of location, time and circumstances where a specific crime type is likely to occur, for tactical use.
  • Using self-learning models, for example, to recognize persons that are probably armed and dangerous.