Skip to content

Webinar: Police Departments Reduce Crime with Spatial Analytics

January 19, 2011

Thursday, January 27, 2011, 2 – 3 pm Eastern / 1 – 2 pm Central / 12 – 1 pm Mountain / 11 am – 12 pm Pacific

Not long ago, violent crime in the city of Richmond, Va., was spiraling out of control. In 2004, Richmond was the ninth most dangerous city in the U.S., according to annual crime rankings published by Morgan Quitno Press. The following year, the city climbed to fifth. The trend was a wake-up call for the Richmond Police Department, prompting the agency to search for new and innovative ways to combat crime.

Join Dr. Colleen McCue, author of Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, to hear how the city found a large part of the solution in IBM SPSS predictive analytics software and Esri ArcGIS.

The Richmond Police Department now makes better-informed public safety decisions on everything from officer deployment to risk management and its crime rates have plummeted. So has the city’s dangerous city ranking – dropping all the way from fifth to 99th.

By tapping the power of IBM SPSS software and geographic information systems from Esri to determine where and when crimes are occurring, police departments are able to better deploy officers on the street. Join our webinar to learn more about how you can unlock the hidden intelligence in your crime data to improve public safety.

Who Should Attend
Executives, department heads and communications/IT staff from state and local governments, as well as from companies and organizations involved in public safety and law enforcement.

Hosted By:
Directions Media

Moderated By:
Mike Agron
Executive Webinar Producer
Directions Media

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 150 other followers