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Top1. Introduction
New methodologies, aimed at increasing software’s rapid development pace are sought, for through the use, of different approaches and criteria. Within Information Systems, the Decision Support Systems DSS, are systems developed with the purpose of analyzing the data stored in organizations; they are becoming increasingly important, since, due to advances in database DB technologies and the cheapening of storage resources, the organizations have more and more data stored, which is waiting to offer their valuable information. This is outstanding to such organizations, and here begins the interest in technologies such as Data Warehouse DW, also named Multidimensional MM DBs, which is an important piece in DSS; it allows for organizing, storing, recovering, and processing data in an efficient way to obtain the maximum information in the minimum time. DWs are DB that contain large amounts of data, which can come from various sources, mostly from transactional DB. According to (Inmon, 2002) a DW is “A collection of data, focused on relevant business events, integrated, non-volatile, including time as an important characteristic of reference for the decision making process”. The authors in (Abril Frade et al, 2007) define a DW as “an information system where data is collected, organized and grouped with respect to events or business activities”. In short, DWs are made to collect data and to extract the following from them: behavior analysis, trends, groupings, statistics, etc.., this information is used in DSS for the decision-making process; which will enable organizations in their planning efforts and with their long-term processes, i.e. “It studies the past to predict/plan the future”. However, there are no proposals with methodologies covering the whole development of DSS. Most proposals only focus on the development of some DW components, mainly the DW repository, losing sight of other involved components. This proposal tries of fill this void, proposing an approach to develop spatial DSS, focused on the creation of an associated spatial DW while following a Processes model. In addition, the proposal uses Software Engineering and DB methodologies as complementary focus. Both the Software Engineering Process (SEP) and the Model Driven Architect (MDA) focus within Software Engineering. Moreover, within DB Methodologies, MM data models regarded as MDA models, are used. Next, it explains some concepts used in this paper to facilitate its understanding.