Business Intelligence for the Disaster Prevention Information System Demand Modeling

• Main Authors: Chia-Cheng Tseng, 曾家政
• Other Authors: Wen-Ching Wang
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/m23p6s

碩士 === 國立臺東大學 === 資訊管理學系碩士班 === 99 === Recently natural disasters raging across from Taiwan, the control of the disasters are more widely across all levels of the organizations. To restrain the disasters, we need to coordinate and organize the personnel in related fields, especially for the timeliness of the information, accuracy, higher pre-disaster warning and disaster judged. When we encounter disasters, complex and unstable phenomenon, the absence of institutional mechanisms would decline the "integration" between the vast resources and organizational information. Therefore, when sudden disaster happened, the unpredictable results will appear, and also making mechanism difficult to manage disaster relief and prevention. In this study, internal disaster management issues currently encounter the problem, and through the application of Business Intelligence (BI) and Knowledge Management (KM) to construct the theoretical basis of the needs of disaster prevention system level model and the environment. Via the demand interviews to capture all levels of personnel for disaster prevention and disaster prevention information needs of information systems, and use a unified modeling language (UML) to transfer into graphics and language requirements. According to the needs of disaster prevention organization level to provide information, and to eliminate or improve all levels of information and resources integration.