Information systems development methodologies for Data-driven Decision Support Systems = Metodologías de desarrollo de software para los sistemas de información de apoyo a la toma de decisiones basados en datos
The sum of small and big decisions made in all levels of companies determines its performance. Also, the quality of the decisions can be improved when there is information available to help decision makers in their task. All this has motivated the development of specific types of information systems aimed to provide the information necessary in the different levels of the company to support structured and semi-structured decision making. This research will be focused on a specific group of information systems to support decisions that make intensive use of historic data integrated from multiple sources; Data-driven Decision Support Systems (DDSS). On the other hand the features of the systems to support decisions together with tasks and techniques that are unique for these systems demanded the creation of specific development methodologies to perform the development process. In response to that demand, several proposals have been elaborated but there is no consensus in the field. Currently there is a debate around two development methodologies that are analysed on this paper. After the analysis of the proposed methodologies a case study organization with experience on the development of DDSS will be analysed. The research aims to understand and present the development process carried out in the organization to develop DDSS. In the analysis the influence of the existing methodologies and other sources, like traditional development methodologies and standardization is included. Finally a proposal to improve the development of DDSS in the case study organization is presented. The proposal is generated in the light of the existing methodologies and other particular proposals that deal with single tasks on the development process.
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