There has been a rapid increase in data volume required for managing government programs, particularly when operations involve analyzing patterns across networks, such as related entities, temporal sequences or common geography. Failure to detect these patterns can result in significant operational risks such as undetected fraud networks, leading to critical blind spots for the organization.

The rapid advancement in graph analysis capabilities provides a unique opportunity to gain insights into constituent behavior and consequently develop strategies to promote or enforce compliance with government programs. To leverage this opportunity, government agencies must have the agility to create purpose-fit graph databases and conduct network analysis to identify noteworthy patterns in a timely manner.