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Multidimensional data modeling plays a key role in the design of a data warehouse. We argue that the Entity Relationship Model is not suited for multidimensional conceptual modeling because the semantics of the main characteristics of the paradigm cannot be adequately represented. Consequently, we present a specialization of the E/R model-called(More)
1. ABSTRACT The main idea of a data warehouse is to provide decision makers with integrated information that is organized according to their requirements. In recent years there was a rapid development of the market for data warehouse prot ducts and in particular for OLAP systems. me technical development in this area is strongly market driven. This paper(More)
The domains of Business Intelligence (BI) and social media have meanwhile become significant research fields. While BI aims at supporting an organization's decisions by providing relevant analytical data, social media is an emerging source of personal and individual knowledge, opinion , and attitudes of stakeholders. For a while, a convergence of the two(More)
Information System (IS) success has been an essential research issue in the IS community for nearly two generations of IS researchers. For the Business Intelligence (BI) domain we see the lack of a comprehensive, life cycle oriented success model. Based on an extensive review of BI success related literature, we propose a methodology for creating such(More)
Maturity level modeling has been a well-established and important stream of IS research. Maturity models have played a significant role in guiding organizational process improvements in many areas. It is therefore surprising that maturity model design and development methodologies have not yet been scrutinized from cross-cultural and international(More)