Agile Behavior Of Business Intelligence Systems: An Empirical Study On The Impact Of In-Memory Technology

To achieve strategic advantage in increasingly turbulent environments, it is vital for organizations to draw faster conclusions out of changing circumstances. As most decisions today are based on data collected by Information Systems, the IS itself must become more adaptable. This is particularly challenging in the domain of Business Intelligence since the underlying architectural approach of enterprise-wide decision support systems is not built upon agility, but on reliability and robustness over a period of time. This paper aims to investigate whether new technological trends (e.g. InMemory Databases) or agile process methods (e.g. Extreme Programming) can help achieving more agility in BI and therefore corporate strategy. The presented research-in-progress paper explains the underlying assumptions in detail, outlines the background research on the topic and proposes a hypotheses model as well as research approach as the center of this study. It concludes by providing an outlook of expected results and future research.