Crime Analysis with IBM Watson Analytics

Understanding, analyzing and creating reports on crime patterns, criminal behavior, and past crimes is crucial in efforts to help prevent crime. We published a blog post that discusses how police forces are utilizing predictive analytics to understand the crime in their area and determine crime “hot spot” maps to better patrol certain areas. We also published a post on how Universities are utilizing predictive analytics to address where and when criminal activities are likely to happen on campuses.

With so much criminal and demographic data available, predictive and cognitive tools such as IBM SPSS and Watson Analytics can be used to ensure crimes decrease.

Tactical Institute, an organization that monitors the internet for criminal activity and threats, recently deployed IBM Watson Analytics to enhance monitoring practices. With Watson Analytics, Tactical Institute is able to quickly and efficiently review social media data, create cognitive explorations on criminal data, review predictions as it relates to crime prevention, and develop dashboards and reports with key crime analysis.

What is IBM Watson Analytics?

Watson Analytics is a cognitive tool that enables more personal data exploration, without the need of deep technical capabilities. With Watson Analytics, you can import data sets and create explorations based off of pre-determined questions through Watson Analytics’ cognitive functionality, plus you can review social media data from Twitter, Forums, blogs, and more. With this type of tool, multiple organizations, including those who are dedicated to prevent crime, such as Tactical Institute, can take social media data exploration to a whole new level.

watsonanalyticscrimewebcast

Learn more about Tactical Institute’s story on how they utilize Watson Analytics, and learn more about Watson Analytics and how you can get started. Join our webcast on June 1 at 11 AM CST for more of a deeper view and story from Tactical Institute- register now >

 

0 replies

Leave a Reply

Want to join the discussion?
Feel free to contribute!

Leave a Reply