Abstract
Building a data warehouse (DWH) is a very challenging task. Most of the DWH project fails to meet the business requirements and business goals because of the improper requirement engineering phase. The gap in between the development of requirements evolves due to disparity between users and developers resulting in project devastation and terminations. DWH quality depends on the quality of its requirement engineering models. Agent orientation is emerging as a unique paradigm in requirement engineering for constructing DWH and maintaining the non-fading DWH property. Agent-oriented systems are expected to be more powerful, more flexible and more robust than conventional requirement elicitation models. In this paper, a new conceptual model CAGDI stand for Clustered Agent-Oriented Decision Information Model has been proposed, which has benefits over the Agent Goal Decision Information (AGDI) model and overcome the short comings of AGDI model. The model can be used in early as well as in late requirement elicitation. This model has been illustrated though an application of a banking system. At the end of the paper the proposed model is evaluated by the requirement metrics.
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