The Effect of Big Data Analytics, Police Risk Management on Security Crisis Management: A Proposed Framework

International Journal of Business Society, Vol. 8, Issue 6
Ahmad Aqil Mohammed Amin AlbastakiDr. Norpadzlihatun Manap
Big data AnalyticsPolice risk managementsecurity crisis managementA proposed framework
PDFRegular IssueDOI: 10.30566/ijo-bs/2024.06.131
8Volume
6Issue

Abstract

An important area related to Police risk management and security crisis management is to undergo systemic risk modelling that estimates the interrelationships among different institutions, with the direction to establish the central tendency and focus on more related subjects. Big data analytics is intricately intertwined with other important concepts that fabricate many new advanced opportunities that were speculative in the past. This is a growing importance in the field of data-driven Police risk management and security crisis management. Extracting and utilising a huge amount of unstructured data is far from easy, and eventually, these data are linked to real-time events. Due to time and space constraints, the data need to be analysed in fewer passes, preferably in a single pass with sublinear space and time. This helps in the proper replanning and rescheduling of Police activities. Big data Analytics would make an impact in valuable knowledge gain for many Police organisations, which in turn benefited in Police risk management and security crisis management. The study aims to propose a framework for big data analytics, Police risk management and security crisis management. The study seeks to provide a guideline to the police in the UAE to understand the importance of Big data analytics, Police risk management in the security crisis management phase as it improves their operational performance.

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Article Information

Article Details
Volume & IssueVol. 8, Iss. 6
Publication DateJun 23, 2024
Authors
Ahmad Aqil Mohammed Amin Albastaki
Dr. Norpadzlihatun Manap
DOI
10.30566/ijo-bs/2024.06.131
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