Cut crime rates, save time and reduce costs by using existing data to see what’s coming—and when
- Predict which events are most likely to escalate into serious crimes
- Deliver information to the field where and when it is needed
- Take advantage of more crime and incident data sources – including incident reports, witness statements, email and social media content
- Improve budgeting and planning by knowing what’s likely to happen tomorrow, next week or next month
Explore these resources for more information:
Public Safety: From Sense and Respond to Predict and Act (white paper)
Using predictive analytics to uncover security threats in time to take action against them.
City of Lancaster reduces crime by 42% over four years (ROI case study)
The city of Lancaster takes a predictive approach to policing, enhancing operational planning with deep insight into crime data and achieving an average of $1.34 million in cost savings.
Turning the tide in Memphis by using data to help combat rising crime and sinking budgets
The Memphis Police Department saw a 28% reduction in serious crime and $7.2 million in cost savings with the help of SPSS predictive analytics.
Larry Godwin, Deputy Commissioner of the Tennessee Department of Safety and Homeland Security, discusses how IBM predictive analytics helped the Memphis Police Department while he was the department’s Director of Police Services.
Listen in as Larry Godwin and members of the IBM predictive analytics team explain how the Memphis Police Department achieved an 863% return on their investment over six years, while reducing crime rates and spending.
Get the details on how IBM helped the Memphis Police Department keep ahead of criminals by finding the city’s “hot spots.”