Developing Strategic Reports for National Co-Operative of Malaysia (Angkasa) Using Data Warehouse and Decision Tree Model

• Main Author: Al-Badri, Ayad H. Mousa
• Format: Thesis
• Language: English; English
• Published: 2012
• Subjects: QA76 Computer software
• Online Access: https://etd.uum.edu.my/2931/1/Ayad_H._Mousa_Al-Badri.pdf; https://etd.uum.edu.my/2931/2/Ayad_H._Mousa_Al-Badri-1.pdf; https://etd.uum.edu.my/2931/

Managing an organization requires access to information in order to monitor activities and assess performance. Business Intelligence (BI) solutions provide organizations with timley, itegrated information that is crucial to the understanding of their business. Data Warehouse (DW) technology is one of the important strategic management approaches for decision making in an organizations. The BI combines architectures, tools, databases, analytical tools, and methodologies to enable the implementation of interactive information in generating analytical reports. Strategic reports, which influence the enduring way of the whole company, are typically used by top managers. These kinds of decisions are repeatedly complex and the outcomes unsure, because existing information is habitually incomplete. Managers at this point must normally depend on history experiences and their instincts when making strategic decisions. DW is a technology allows integrating and transforming enterprise data for strategic decision making. Furthermore, Decision Tree (DT) is a decision support tool that uses a tree-like graphof decisions and their possible consequences, including chance event outcomes, resource costs, and utility. The organization, which is, responsible to manage people activities need strategic decisions making. This paper will be focused how to design and develop Strategic Reports using DW and DT Model for National Co-operative Organization of Malaysia (ANGKASA) called DSRNCO, as a case study. This system has been evaluated through the system user feedback by using Computer System Usability Questionnaire (CSUQ), which measures system usability and user satisfaction.