Information Builders
Case Studies
Charlotte-Mecklenburg PD Fights Crime With Predictive Analytics
Overview
Charlotte-Mecklenburg PD Fights Crime With Predictive AnalyticsInformation Builders |
Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - Data Exchange & Integration | |
Security & Public Safety | |
Business Operation | |
Predictive Maintenance Public Warning & Emergency Response Real-Time Location System (RTLS) | |
Data Science Services System Integration | |
Operational Impact
Patrolling officers have real-time information they can act upon while in the field. | |
Supervisors can assign officers to areas that have a high likelihood of criminal activities, lowering operating costs and streamlining crime-fighting efforts. | |
The new BI dashboards eliminate manual reporting processes and consolidate report packages to create a more efficient crime analyst staff, and thus a safer community. | |
Quantitative Benefit
Reduced crime rates in Charlotte since the start of the initiative. | |
Lower operating costs due to optimal assignment of officers to response areas with the highest likelihood of criminal activity. | |