Ahmad Aqil Mohammed Amin Albastaki; Dr. Norpadzlihatun Manap
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.
[ FULL TEXT PDF 1-10] DOI: 10.30566/ijo-bs/2024.06.131
