Titlebook: Decision Modelling and Information Systems; The Information Valu Nikitas-Spiros Koutsoukis,Gautam Mitra Book 2003 Springer Science+Business

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Information Systems for Decision Supportn in progressively better ways and in greater volumes. Today the use of information systems (IS), or in more common parlance, information technology (IT), in a management context, is the leading issues for the organisation. We focus mainly on IS which —in one way or another- were thought to make a v

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Book 2003 decision modelling, and information systems. ..The first two parts of the book focus on the interdisciplinary decision support framework, in which mathematical programming (optimization) is taken as the inference engine. The role of business analytics and its relationship with recent developments i

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Restoring Transparency to Computational Solutions This chapter advocates conceptually simple models, arguments, and spreadsheets as adjuncts to complex computational models to help explain important aggregate properties of detailed computational solutions. This can improve the transparency, and hence the value, of such solutions.

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Data Modelling ‘Technology’ecision support perspective it is necessary to contrast between these otherwise traditional data frameworks and the concepts behind modern database technologies aimed at the decision support developer. In this chapter we consider these data modelling aspects, as they are fundamental in the interaction of Decision Modelling and Information Systems.

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https://doi.org/10.1007/978-3-642-96142-7 maker(s) with the models, leads to knowledge about the problem at hand. Through this elicitation process, decision-makers are able to comprehend the problem at hand and decide accordingly. We now delve deeper into this process to consider its participants.

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