Cut both crime and spending at once
What are you supposed to do when you’re being told to cut your budget and trim your programs—at the same that you’re facing a big jump in population growth and a crime surge?
The city of Lancaster, CA was facing precisely that problem in 2007. So they turned to SPSS for Crime Prediction and Prevention to develop predictive models and analytics for crime prevention. That decision helped them reduce crime by 42 percent and generate an annual cost savings of over $1.3 million by the end of 2011.
To learn more about how the Lancaster Police Department—and those in other cities—are using the insights they gain from SPSS for Crime Prediction and Prevention to help cut crime, boost productivity and save money, visit our SPSS public safety resource page.
Questions? Contact an SPSS specialist at:
The City of Lancaster takes a predictive approach to policing. Enhancing operational planning with deep insight into crime data.