How Data Analysis can help reduce crimes in India

By Prerana Banerjee                                                                                                                           



How Data Analysis can help reduce crimes in India

In a developing nation like India, the increasing crime rates play a significant role in hindering the growth of the nation as a unit. This particular development in the crime behavior always has a greater impact on foreign investments as well as the image of the country in the global environment. Therefore, there is a strong need to monitor and analyze the crimes occurring across the nation in addition to regulating them. Though the task of crime regulation is solely under the purview of the government, analysis of the crimes should be carried out in order to derive conclusions and suggest necessary actions and measures extracted from analytical analysis of the past crime database. This method can play a significant role in helping the government in taking better actions for maintaining law and order in the nation and also effectively utilizing their valuable resources.


What is Crime Analytics?

Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Information on patterns can help the police and law enforcement agencies to deploy resources in a more effective manner and assist detectives in identifying and apprehending suspects. Crime analysis plays an important role in devising solutions to criminal problems, and formulating crime prevention strategies. Quantitative social science data analysis as well as qualitative methods such as examining detailed police narratives play a vital role in crime analysis for strategizing crime prevention and control measures.


How does Data Science help Indian Police Services in preventing crimes?

Data Science is the study of data points, both structured and non-structured, that may be analyzed computationally to reveal, predict, interpret interference patterns, trends and associations, especially relating to human behavior and interactions.

Crime has patterns just like everything else. The automation and digitization of FIRs, investigation reports, case files, dossiers, etc. are now generating data that was never before available to law enforcement agencies in India.

The National Crime Records Bureau (NCRB) is trying to use crime data analytics software to enable predictive policing so that crime can be stopped even before it takes place. Hyderabad based Advanced Data Research Institute (ADRIN) is developing a special software so that law enforcement agencies can map crime patterns and perform predictive analysis. The NCRB has plans to make the software available in five states – Kerala, Odisha, Maharashtra, Haryana and Tripura by the end of 2018 and later to all states and union territories. The software is basically using big data analytics and geographical areas where crime is most likely to occur, after considering various factors before the predictive analysis.

The Delhi Police is making use of the software Crime Mapping Analytics and Predictive System (CMAPS) which is a web-based software and uses real-time data from Delhi Police’s Dial 100 Helpline and ISROs satellite imageries, spatially locates the calls and visualizes them as cluster maps to identify crime hot spots. The software’s statistical models and algorithms help the police understand where the next crime is likely to occur.

Similarly, the Jharkhand police force is trying to implement an analytical system, with the help of IIM Ranchi, which would evaluate criminal records, date and time of crime occurrences, and location to predict crime-prone zones.

From public records to social media information to informant tips, Indian police force has access to an expansive amount of data, which is spread over its legacy systems. Therefore, it becomes extremely important for Indian police across different states to adopt easy-to-operate analytical tools to utilize this vast intelligence.


Conclusion

It is crucial to understand that the technology is still in its nascent stage, and humongous data is required over the next few years to bring in long term change. The use of predictive policing can lead to effective implementation of preventive measures to curb crime and control crime rates. Although criminals always try to be ahead of the law, deployment of big data and predictive analysis in Indian police agencies will help the police force enhance the effectiveness of their work, making our country safer and more business friendly.

 



About the Author

Prerana Banerjee is a member of the Information Services Team at Mitkat Advisory Services. 

Disclaimer: Any views or opinions represented in this blog are of the author and do not represent those of MitKat. Any views or opinions are not intended to malign any religion, ethnic group, club, organization, company, or individual.

Published On - Aug 21,2018

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