ADVERTISEMENT FEATURE: Network analysis can identify criminal leaders with 92% accuracy—a precision that manual investigation rarely achieves. But even with this mathematical precision, the volume of insights generated from criminal networks can overwhelm human analysts, leaving critical intelligence buried in complex data relationships.

ADVERTISEMENT FEATURE: Defined as a tactic that uses advanced analytics for proactive crime prevention and supporting investigations, predictive policing identifies intervention targets, solves past crimes, and makes effective crime prevention policies. Due to the adoption of knowledge graph databases and their rigorous nature, such analysis is starting to become commonplace.

ADVERTISEMENT FEATURE: The all-too-common challenge of working within a modern policing environment: mountains of data from databases are disconnected and siloed. Users have to search through dozens of systems and conduct disconnected crime analysis, manually uncovering key linkages between entities. At the vanguard of policing technology, a growing graph-structured data model called a knowledge graph is proving invaluable.