Beslutsstöd : Effektivisering av ett beslutsstöd för tågtrafikledning i Sverige
Sammanfattning: Business Intelligence, BI, is a tool for collecting, analysing and transforming data into useful information, information which is supposed to help making decisions and controlling a business’s operations. Business Intelligence leads to increased efficiency and optimizing the decision making within the organisation or its functions. It is designed to support the operator so that decisions are made quickly and accurately. The purpose of this study is to deliver a specification of requirements of value-adding information in a decision support system used by traffic coordinators at SJ. In order to reach the purpose, the qualitative study was designed in three steps, identification, prioritization and information analysis. The project was defined only to take one specific process in consideration: error-searching caused by vehicle damage. The study was initiated with interviews, observations and workshops and ended with an analysis of XOD, the current base of information. The study resulted in a specification of requirements, containing 21 different types of important information. Out of the 21 types of information currently existing in XOD, only about 52 % was considered value adding for the specific process. Besides that, the traffic coordinators experienced missing information, which was added in the specification of requirements. The heavy amounts of information was shown to be too much to take in consideration at once, which led to the conclusion that the business intelligence needs to be automated in order to optimize the decision making process.
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