Information Builders > Case Studies > Charlotte-Mecklenburg PD Fights Crime With Predictive Analytics

Charlotte-Mecklenburg PD Fights Crime With Predictive Analytics

Company Size

1,000+

Region

America

Country

United States

Product

WebFOCUS
iWay DataMigrator
RStat

Tech Stack

Business Intelligence
Predictive Analytics
Data Consolidation

Implementation Scale

Enterprise-wide Deployment

Impact Metrics

Cost Savings
Customer Satisfaction
Productivity Improvements

Technology Category

Analytics & Modeling - Predictive Analytics
Analytics & Modeling - Real Time Analytics
Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Security & Public Safety

Applicable Functions

Business Operation

Use Cases

Predictive Maintenance
Public Warning & Emergency Response
Real-Time Location System (RTLS)

Services

Data Science Services
System Integration

About The Customer

The Charlotte-Mecklenburg Police Department (CMPD) provides police services for Charlotte and the unincorporated areas of Mecklenburg County, North Carolina. The department, which has 1,716 officers and 530 civilian staff, serves a population of more than 700,000 citizens. The goal of the department is to make Charlotte one of the safest large cities in America. To do that, it continually advances strategies to prevent crime and increase public safety. This philosophy recently led CMPD to deploy intelligence-led, predictive policing technology from Information Builders.

The Challenge

The Charlotte-Mecklenburg Police Department (CMPD) had been collecting data on criminal activity for many years. However, it relied upon a manual process of sifting through 13 disparate data sources to analyze crime statistics, identify trends, and model resource allocations. This made it difficult to make sense of all the information. Users typically had to run multiple queries to be able to drill into the data and answer specific questions. CMPD command staff recognized the need for improvement and sought funding through an Urban Area Security Initiative (UASI) Homeland Security Grant. The goal was not only to enable command staff and dispatchers to easily run reports, but also to push information out to officers in real time.

The Solution

CMPD engaged Information Builders Professional Services to implement their vision of the repeatable Law Enforcement Analytics (LEA) solution. They began by loading an operational data store (ODS) that combines information from the department’s records management system, computer-aided dispatch data, employee data, and pertinent information about special events, weather, and school calendars. iWay DataMigrator loads this operational data store and refreshes it with current data on an ongoing and nightly basis. Next, they used WebFOCUS to create a series of dashboards and up-to-the-minute graphical reports, provided directly to police officers in their patrol cars. The intelligence-led policing solution includes web-based key performance indicators (KPIs), operational dashboards, interactive-mapping capabilities, predictive analytics, and data-mining algorithms to spot trends and predict future outcomes.

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.
The ability to target areas where crimes might occur allows the department to deploy officers proactively, increase officer and citizen safety, and reduce the number of calls for service.

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.