stephen hollifield, cio city of richmond police, virginia [email protected] visual...
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Stephen Hollifield, CIO
City of Richmond Police, Virginia
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
Visual Predictive Analytics inLaw Enforcement