Harnessing Cloud Computing and Data Analytics – A Modern Approach to Crime Fighting

Harnessing Cloud Computing and Data Analytics – A Modern Approach to Crime Fighting

A system to serve the community of a major city in all areas would result in the accumulation of a vast amount of data since various types of data are stored. The system would be beneficial, but it would also introduce new challenges, such as cybercrimes due to the rise of criminal activities (Anderez et al., 2021). In today’s digital age, the police department plays a critical role in ensuring public safety; thus, the new challenges posed would require innovative solutions. Cloud computing data analytics is one of the powerful tools that can be adopted to fight against crimes (Pramanik et al., 2017). Crimes occur in certain patterns and trends, thus the accumulated data from the system needs to be explored. By moving to the cloud, the department can quickly access and analyze large volumes of data from various sources such as surveillance systems, social media, and personal devices. Cloud computing data analytics will enable police departments to enhance their crime prediction and prevention capabilities by the critical insights and evidence they uncover to support their work.

Cloud computing data analytics is mostly applied in predictive policing. Predictive policing refers to making predictions about a possible criminal activity by the use of analytical techniques (Belina, 2016). To identify patterns and trends that can help predict potential criminal activities, the police department needs to analyze demographic information, historical crime data, and other relevant information. The main aim of this predictive policy is to prevent crime from taking place rather than just fighting it. Though the ideal scenario is prevention, it also plays an important role in reacting to incidences of crime like getting the criminals in the act (Martens, 2016). By understanding the motivation of criminal behaviors, the police department can be able to develop targeted strategies and tactics to enhance public safety. Police departments have deployed officers based on intuition or staff levels in specific areas. This approach can be inefficient as crime hotspot areas might be left unattended while officers in low-crime areas may be underutilized.

Cloud-based data analytics also play an important role in efficient resource allocation. By analyzing the large sets of data, both the latest and historical crime data using the predictive policy mechanisms they are able to identify crime hotspot areas. This would help the department make informed decisions on where to deploy its resources efficiently to deal with emerging issues.

Further, using Cloud leads to improved collaboration and data management through the transformation of reporting crimes, managing data, and collaboration. A wide range of services such as analytics, storage, computing, and networking are provided by cloud-based solutions. Cloud computing facilitates seamless collaboration within the police department and other sectors as it allows the sharing of information and intelligence in real time (Guo et al., 2019). With the ability to access critical data and case files from any location using various devices, law enforcement officers can stay connected and responsive even while in the field. This real-time collaboration enhances the ability to respond quickly to emerging threats, gather evidence, and collaborate with other partners. Automated redaction and smart search features ensure sensitive information is securely handled enabling quick access to relevant data thus enhancing investigative capabilities.

Cloud computing analytics leads to enhanced investigative capabilities of the police department. Cloud-based features such as intelligent search algorithms, real-time reports, and automated redaction will enable the police department to ingest, store, manage, analyze, and share data securely within a single software environment. By leveraging these services, the department can streamline data management and analysis to solve crimes more efficiently. This leads to significant time savings and improved efficiency as investigators focus on analyzing critical information rather than being bogged down by manual data management tasks.

Additionally, cloud computing solutions offer various benefits to the police department such as efficient data storage, accessibility, and scalability. However, it is important for police departments to ensure that they comply with the relevant security and privacy regulations. This compliance is important when dealing with sensitive data like criminal records. The police departments should ensure their cloud provider complies with laws and regulations pertaining to data protection and privacy. Clear policies for access control, risk management, and data protection within the cloud environment should be set in a way that meets compliance requirements. In order to maximize the benefits of cloud-based data analytics, the personnel in the department need proper training how to use the tools and interpret the data.

Subsequently, to ensure compliance with the security and privacy regulations, the police department should put in place measures. Measures such as ensuring all employees sign an agreement to acknowledge their responsibility to comply with the security policies. It is also important to involve staff in the development of the guidelines and procedures to increase their involvement and acceptance. The automated solutions for example monitoring must comply with the security metrics and standards.

In summary, cloud computing can provide police departments with valuable insights and tools to fight against crimes more effectively. Adopting cloud computing data analytics yields benefits such as predictive policing, efficient resource allocation, improved collaboration and data management, and enhanced investigative capabilities. The solutions help create a safer community.

References

Anderez, D. O., Kanjo, E., Amnwar, A., Johnson, S., & Lucy, D. (2021). The Rise of Technology in Crime Prevention: Opportunities, Challenges and Practitioners Perspectives. https://arxiv.org/abs/2102.04204v1

Belina, B. (2016). Predictive policing. Monatsschrift Fur Kriminologie Und Strafrechtsreform, 99(5), 85–100. https://doi.org/10.1515/mks-2016-990516

Guo, Y., Mohamed, I., Abou-Sayed, O., & Abou-Sayed, A. (2019). Cloud computing and web application-based remote real-time monitoring and data analysis: slurry injection case study, Onshore USA. Journal of Petroleum Exploration and Production Technology, 9(2), 1225–1235. https://doi.org/10.1007/s13202-018-0536-2

Martens, P. (2016). Predictive Policing; Tension between analytics and intuition. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Predictive+Policing%3A+Tension+between+Analytics+and+Intuition&btnG=

Pramanik, M. I., Lau, R. Y. K., Yue, W. T., Ye, Y., & Li, C. (2017). Big data analytics for security and criminal investigations. In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (Vol. 7, Issue 4, p. e1208). John Wiley & Sons, Ltd. https://doi.org/10.1002/

ORDER A PLAGIARISM-FREE PAPER HERE

We’ll write everything from scratch

The police department of a major city wants to build a cutting-edge system to serve the community in all areas.

Harnessing Cloud Computing and Data Analytics – A Modern Approach to Crime Fighting

As a consultant, how can you present your case for using cloud computing data analytics to fight against crime?