Advances in data analytics and machine learning now allow the data silos to be analyzed, helping departments pinpoint not only where crime is likely to occur, but when and under what circumstances. Where do people gather after sporting events? What happens when the weather turns warm? How do patterns change when school is out?
By leveraging computer models that take into consideration historical crime trends, demographics, climatology, geospatial information, and other data sets, law enforcement agencies can better plan where to deploy their resources.