Business intelligence model for trade applications system at Ministry of Information Trade and Industry (MITI) / Che Aslinaliza Che Ahmed

• Main Author: Che Ahmed, Che Aslinaliza
• Format: Thesis
• Language: English
• Published: 2015
• Subjects: Business records management
• Online Access: https://ir.uitm.edu.my/id/eprint/63459/1/63459.pdf; https://ir.uitm.edu.my/id/eprint/63459/

Large and small organizations create gigantic volume of data on every aspect of daily activity. However majority of these data are difficult to access because it is subdivided in a numerous computer systems which spread out all over the organizational. MITFs core business is international trade and industrial development. All MITI core business already computerized system in two main categories which are Trade Applications System (TAS) and Industry Applications System (IAS). MITI generate volume of data from TAS and IAS. MITI also gets raw data from Royal Malaysia Customs Department (JKDM) and also Department of Statistics (DOS). Data is everywhere in individual databases of the applications it will cause information glut syndrome situation. In order for MITI to do a comprehensive analysis, all this source of data need to be integrate and manage properly. Business Intelligence Systems combine operational data with analytical tools to present complex and competitive information to managers and decision makers. This study will focus on data from TAS and raw data from JKDM. The objective of this study is to propose a BI Model for TAS. This BI model is significant to practitioner as it can be a guideline and preliminary study for MITI in developing a Business Intelligence System. This study also contributes towards new knowledge through the development of the MITI BI model. MITI BI model are derived from real insight of the data and system capabilities thus, it mirrors the reality of the organization. This study is performed by using qualitative methodology. Case study is being used to explore indepth about the process and activity involve in managing data for TAS through interviews of its IT and Business personnel. This study used Data Life Cycle Model by Turban and Volonino for data collection and data analysis lens. The findings from current practice of data analyzing for TAS was able to identify the type of data which are AP data , COO data and external data from JKDM. These three (3) types of data are the working domain in order to execute Business Intelligence System for TAS. The proposed solution for MITI's BI model is a BI portal as a centralized source of analyzing and reporting tool. It is advisable for web-based since user can access the data anytime and anywhere. For future research, researcher is advisable to include the process of data analyzing for IAS in order to cover the whole MITI core business.