Ochara, Nixon MugandaPatala, NajiyabanuMaligudu, Mashudu2023-11-172023-11-172023-10-05Maligudu, M. (2023). A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa. University of Venda, Thohoyandou, South Africa.<http://hdl.handle.net/11602/2661>.http://hdl.handle.net/11602/2661MCom (Business Information Systems)Department of Business Information SystemsAccess to real-time information, which can be either information before, during, or after the disaster, is essential to the effectiveness of disaster risk management, prevention and mitigation, preparedness, response, and recovery. The current Visual Analytics in Disaster Risk Management is not equipped to handle a considerable volume of disaster-related information dissipated across various partners. The study's main aim was to design a framework for Collaborative Visual Analytics integration in Disaster Risk Management. The current research used a qualitative methodology, and data was collected through documents. The research addressed collaborative visual analytics for decision assistance in disaster risk management in South Africa. Several theoretical recommendations from the findings were suggested. These are critical towards having a comprehensive understanding over the subject matter, guiding policy, and enriching the body of knowledge.1 online resource (iv, 79 leaves) : color illustrationsenUniversity of VendaDisasterDisaster Risk ManagementIntegrationVisual AnalyticsDecision SupportCollaborationDecision SupportDissertationMaligudu M. A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa. []. , 2023 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/2661Maligudu, M. (2023). <i>A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa</i>. (). . Retrieved from http://hdl.handle.net/11602/2661Maligudu, Mashudu. <i>"A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa."</i> ., , 2023. http://hdl.handle.net/11602/2661TY - Dissertation AU - Maligudu, Mashudu AB - Access to real-time information, which can be either information before, during, or after the disaster, is essential to the effectiveness of disaster risk management, prevention and mitigation, preparedness, response, and recovery. The current Visual Analytics in Disaster Risk Management is not equipped to handle a considerable volume of disaster-related information dissipated across various partners. The study's main aim was to design a framework for Collaborative Visual Analytics integration in Disaster Risk Management. The current research used a qualitative methodology, and data was collected through documents. The research addressed collaborative visual analytics for decision assistance in disaster risk management in South Africa. Several theoretical recommendations from the findings were suggested. These are critical towards having a comprehensive understanding over the subject matter, guiding policy, and enriching the body of knowledge. DA - 2023-10-05 DB - ResearchSpace DP - Univen KW - Disaster KW - Disaster Risk Management KW - Integration KW - Visual Analytics KW - Decision Support KW - Collaboration KW - Decision Support LK - https://univendspace.univen.ac.za PY - 2023 T1 - A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa TI - A framework to integrate business intelligence and collaborative visual analytics for decision support in disaster risk management in South Africa UR - http://hdl.handle.net/11602/2661 ER -