Law enforcement agencies have crime data analysts who create mapping and spatial analysis of crime that aids in crime prediction. Dispatch officers use the analyzed crime data for planning patrolling duties for officers by considering available resources like officers and vehicles.
However, a lack of predictive analytical efficiency and lack of time precluded crime analysts from performing the necessary evaluations. Furthermore, many repetitive actions were needed to generate reports, and there were no clear communication channels within the departments. The previous system lacked the efficacy to become sustainable and had several loopholes leading to incorrect decision-making by various stakeholders. This product I created helped facilitate informed decisions by understanding threats in advance and collaborating with other agencies so that valuable information is accessible to key decision-makers.
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Soumya Dash
Soumya Dash is a User Experience Designer at Palo Alto Networks, where her daily work involves empowering people to solve problems more effectively. She enjoys creating network-based data visualizations, novel interaction patterns, and native apps for troubleshooting issues in the network.
Previously, Dash worked with law enforcement agencies to identify and predict crimes based on factors that build transparency and trust with law enforcement agencies. Her talk is based on this case study that positively impacted policing by creating transparency and trust with society.
