A Study of Business Intelligence – Using the Chemical Company as an Example

Abstract

It is not a simple task to depict cause and effect relations in complex business processes especially when they are rapidly changing However this task is critical to achieve “prevention is better than cure” in modern business environments Recently a large number of tools used to describe and analysze the causes and effects in these business processes have been developed to facilitate this effort that also have been used effectively in various fields Risk management is not only a qualitative description of how to effectively use a factory to implement previous EHS (Environment Health and Safety) activity results but it also allows a large number of structured and unstructured reports to be effectively managed and analyzed Then according to new insights with the analysis as a foundation changes and improvements can be made that make use of existing data for statistical analysis and provide operational decision-making capability Currently most of the existing systems in enterprises are unable to meet user demand for a large number of real-time computing and multi-dimensional data statistical analysis and a wide variety of complex and routine reports are still highly dependent on IT staff for development and maintenance that often fail to meet the requirement of real-time information and to provide relevant statistical information retrieval needs They are often also limited by the level of expertise of the user In this study we use business intelligence technology to analyze large amounts of both structured and unstructured reports in order for decision-makers at all levels to get real-time feedback and to make more effective use of the data accumulated in the operation thus providing various analyses and operational management of a number of major decisions and building a predictive statistical model We plan to establish an "EHS performance Management system" through a comprehensive view and analysis of historical information related to EHS activities in order to evaluate the strengths and weaknesses related to environmental risk management and to further develop improvements in efficient use of resources under conditions of overall environmental risk in the area of online energy management development thus enhancing corporate performance Therefore this study uses cause of failure analysis data warehousing and business intelligence to overcome these problems The experimental results show that using these methods after adjustment in the reason attribution mode allow analysts to obtain information more quickly and a preventive effect can be achieved depending on the cause topology

Date of Award	2014 Sept 1
Original language	English
Supervisor	Sheng-Tun Li (Supervisor)