1. Improve officer and analyst awareness through live, map-based visualization of crime-related activity. 2. Enable automated, data-driven alerts connecting related incidents, vehicles, and persons of interest. 3. Enhance cross-jurisdictional collaboration through secure data sharing across approved law enforcement partners. 4. Provide intuitive, web-based tools accessible from desktop and mobile devices without the need for onpremises infrastructure. The proposed solution shall: 1. Integrate with multiple data sources, including license plate recognition (LPR) Flock, field reports, computer-aided dispatch (CAD) Central Square, and record management systems (RMS) Central Square through API-based connections. 2. Offer a single, unified map-based interface for all data layers and analytic tools. 3. Provide automated, AI-assisted pattern detection (e.g., identifying related crimes, vehicles, or locations). 4. Support real-time alerting and notification for designated events (e.g., vehicle sightings, incident clusters, repeat offender presence). 5. Include built-in investigative collaboration tools, such as case workspaces and sharing permissions between agencies. 6. Operate as a fully managed SaaS (Software-as-a-Service) environment — requiring no local servers, software installation, or IT administration by agency personnel. 7. Maintain CJIS compliance, encryption in transit and at rest, and multi-factor authentication.
