Skip to Main Content
It is becoming increasingly important to provide decision makers at all organizational levels with the necessary information and knowledge for effective decision making. Decision makers at higher organizational levels need, in addition to support in decision making, assistance in analyzing patterns and trends in the decisions taken by decision makers at lower organizational levels. In this paper, we present extensions to the role of knowledge discovery techniques in decision support for discovering decision models and discovering patterns and trends in decision models. We propose an approach for realizing this extended role using model marts and model warehouses and a framework for building enterprise decision support environments supporting the proposed approach. This approach and framework can lead towards building up to the development of organizational memory with the decision-making patterns and changes in those patterns over long periods of time.