In the 21st century, organizations are experiencing environmental changes characterized by indistinct organizational boundaries and fast-paced change. As a result firms need appropriate decision support infrastructures in order to face these challenges. Current data warehousing and business intelligence approaches are widely accepted as a middleware layer for state-of-the-art decision support. However, they do not provide sufficient support in dealing with the upcoming challenges, such as real-time and closed loop decision making. In this paper, we suggest an architecture for enhanced business intelligence that aims to increase the value of business intelligence by reducing action time and interlinking business processes into decision making.
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