Working with the DISQ network on ways to use data analytics to improve public safety, Kovid Sawla, Adesh Chopade, and Suraj Sahijwani realized there was a wealth of information at the Nashik city police administration’s disposal that was not being harnessed to its true potential – crime reports.
After parsing through a year's worth of police data, digitizing and sanitizing it in the process, the team created a web- and app-based dashboard called Third-I to help the department gain greater insights into the workings of the city. The Third-I team also trained the junior officers generating these reports in advanced data capture techniques, so that both information access and analysis became streamlined.
The impact was immediate – the traffic department, for instance, managed to isolate 45 ‘black’ spots in Nashik that saw the highest incidences of serious accidents each year. Local police teams immediately set up barricades around 77 such areas. Third-I has since expanded the pilot network to 111 police stations in the Palghar, Ahmednagar, Raigad, and Mumbai Railways (Police) areas in Maharashtra as well.
Tough on Crime, Not on Cops
Today, seven control rooms, two traffic branches, and approximately 5,000 users analyze more than 30,000 crime reports and other data (GIS, critical locations, incident reports, traffic updates) on a daily basis using the Third-I platform. The team has since expanded the platform’s features to include cyber crime, citizen connect, and visitor management.
Third-I is helping more than 500 man hours per day across the five regions where it is active. This digitization and data analytics process has not just improved the crime rate in Nashik and Palghar, but is saving the police department more than 1 lakh A4-sized sheets of paper on a y-o-y basis. The response time of police teams has also improved by 20%, since they receive real-time details and locations of each incident on their apps.
In addition, the system also indicates pendency and alerts both the department and complainants via SMS about updates regarding cases. Valuable analytics can also be derived from the dashboard, right down to the granular level. For instance, you can get a breakdown of exactly during which time period house break-ins go up and where, which helps the local police departments improve surveillance, in turn making cities safer for everyone.