Big Data Analytics Framework for Natural Disaster Management in Malaysia

Decision making in natural disaster management has its own challenge that needs to be tackled. In times of disaster, government as a response organisation must conduct timely and accurate decisions to ensure rapid assistance and effective recovery for the victim involved can be conducted. The aim of this paper is to embark strategic decision making in government concerning to disaster management through Big Data Analytics (BDA) approach. BDA technology is integrated as a solution to manage, utilise, maximise, and expose insight of climate change data for dealing water related natural disaster. NAHRIM as a government agency responsible in conducting research on water and its environment proposed a BDA framework for natural disaster management using NAHRIM historical and simulated projected hydroclimate datasets. The objective of developing this framework is to assist the government in making decisions concerning disaster management by fully utilised NAHRIM datasets. The BDA framework that consists of three stages: Data Acquisition, Data Computation, and Data Interpretation and seven layers: Data Source, Data Management, Analysis, Data Visualisation, Disaster Management, and Decision is hoped to give impact in prevention, mitigation, preparation, adaptation, response and recovery of water related natural disasters.