A Classification For Business Intelligence Agility Indicators

Abstract

Under the label of “Business Intelligence (BI) agility ” a variety of measures has been proposed, from the adaption of Cloud Computing technologies, over the implementation of “Self-Service-BI” approaches, up to the implementation of agile software development methods. Their commonalty is that they all aim at efficiently lowering response times to change requests. The discussion is hampered, however, by the fact that the term “agile ” remains vague in the context of BI and that it can easily become misguiding: A BI solution that is seemingly “agile ” from the perspective of a given line of business can easily diminish the agility of the enterprise-wide BI solution. Besides, it is usually neither necessary nor advisable to subsume all sorts of changes in the often complex and vast BI application landscapes under one metric. This contribution tackles this problem. A review of related work and the analysis of multiple interpretative case studies lead to a differentiated and multi-level agility classification scheme for content, functional, and scale related BI agility concepts that are

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