SPSS Superheroes

Who didn’t want to be a Superhero growing up?  For me, it was She-ra, Princess of Power!  And for one brief fancy dress ball I did in fact carry a sword and fight my arch nemesis, Katra.

Whilst many of us never had the super powers required to be the next Spiderman, with the help of IBM predictive analytics, a select group have found innovative and unique ways to reduce crime and make the streets a safer place.

Take for example the Richmond Police Department.  Using SPSS they were able to uncover crime patterns in structured and unstructured data that enabled them to better anticipate events and deploy crews to high risk areas.  They were able to reduced homicide rates by 40% and gunfire incidents by 49%. They also increased weapon seizures by 246%.

In fact, on the first day SPSS was deployed, overtime costs were reduced by $15,000 as resources were efficiently deployed to locations where they were most needed.  Most importantly, this meant officers were able to return home at the end of their shift and spend valuable time with their families and friends.

Similarly, Memphis Police Department achieved a reduction in violent and property crimes by an average of 15.8% without a corresponding increase in officers.  Their average annual benefit of the solution is estimated at over $7 million – a significant saving that can be re-invested in other public safety initiatives.

There are countless examples of how crime prevention agencies are using predictive analytics to lower crime rates and improve public safety, many with ROI studies documenting the factual and fiscal benefits of the solution.

But how do you capture the real value of being able to anticipate and prevent crime?  This movie is a good start…

SPSS to the rescue!