Stephen Hollifield, CIO City of Richmond Police, Virginia [email protected] Visual Predictive Analytics in Law Enforcement.

Stephen Hollifield, CIO

City of Richmond Police, Virginia

[email protected]

Visual Predictive Analytics inLaw Enforcement

Crime in Richmond

• Data Rich yet Information Poor (~50 million records)

• No way to compare current crime with vast wealth of historical data

• Statistical forecasting limited to linear perspectives

• Analysis only available to limited personnel with delayed and cumbersome distribution

Our Challenge

• Find: Hidden patterns & relationships

• Analyze: Predict likelihood of violent crime

• Automate: Updated forecasts every 4 hours

• Distribute: Enterprise-wide access

• Leverage: Deploy resources effectively

Our Strategy

Data– Bring data from

multiple sources into data warehouse

– Discover hidden patterns and relationships

Data Sources

Predictive Results

Crime Maps

Visual Discovery

KPI - Incident Analysis

The Cost

Statistics

• Have we been able to reduce crime?

• Do people feel safer?

• Are certain crimes occurring less often?

• Are we making efficient use of our resources?

Measuring Success

S M T W H F S

7 & 30 Day Analysis– Predict intensity of crime by

4 hour windows within 7 and 30 day forecasts

– Provide single click interface directly to GIS perspective for each 4 hour window

– Provide “what if” scenario options based on deployment tactics

S M T W H F S

Future

Stephen Hollifield, CIO

City of Richmond Police, Virginia

[email protected]

Visual Predictive Analytics inLaw Enforcement