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Title: The importance of Business Intelligence as a decision-making tool: case study electricity company of Ghana (E.C.G)
Authors: Twum Amoako, Benjamin
Department: Högskolan i Borås/Institutionen Handels- och IT-högskolan
Issue Date: 18-Mar-2014
Series/Report no.: Masteruppsats
2013MASI13
Programme: Masterutbildning i Informatik
Publisher: University of Borås/School of Business and IT
Media type: text
Keywords: Business Intelligence
Information systems
Decision-making
Information
Data
Abstract: Demand and technology are driving competition to its best if not to the edge, blurring the industrial boundaries and resulting in a substantial re-arrangement of businesses. The advancement in information technology has also made it possible for organisations to hoard large volumes of data from multiple sources through their business processes. To remain competitive in the face of these changing times and fierce competition, a tool is needed which has the capability to allow a holistic view of the operating environment of the organisation, by taking advantage of the huge body of accumulated data and thereby allowing decision makers to be spontaneous with their decision-making. Business Intelligence offers these capabilities and more, for instance the possibility to perform analytics operations about event(s) that demands more clarity on their behaviour. Research in this area, though young, is gradually gaining attention in academia, although still scanty in Africa. This thesis investigates if the adaptation of Business Intelligence (BI) systems can help in an organisation's strategic decision-making in the context of the Electricity Company of Ghana (E.C.G), operating in the utility industry in Ghana. A qualitative approach, employing interviews with seven selected managers at E.C.G was adopted. The results indicate that BI, or a similar system, has never been adapted by E.C.G, though the company creates huge data through its operations. Further, the organisation's information system is not linked together to allow possible discovery of some intelligence that would be worthwhile to influence strategic decisions. The dispersed nature of the current systems is not only causing delays in quest of information from other departments, but also affecting decision-making and progress of work. E.C.G is a prime candidate for the adaptation of BI to leverage on its huge data and also/additionally reduce production waste and costs and to help provide an efficient supply of electricity to its customers. Such a tool would prove to be indispensable.
URI: http://hdl.handle.net/2320/13536
Appears in Collections:Masteruppsatser (Informatics)

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