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Enterprise-wide Decision Support Systems : An Intelligent Approach July 1999

Organizations that operate from multiple locations have data and model resources distributed at various sites of the organization. Decision making is facilitated when these resources are brought to bear as part of an enterprise-wide decision support system. In this paper, we present an enterprise-wide decision support system (EDSS) that leverages existing model and data resources distributed at various organizational sites to facilitate decision making. The EDSS supports remote model executions and database access via a variety of methods. The EDSS architecture relies on an intelligent rule-based approach for generating and executing a sequence of models in response to user queries. An important feature of the our approach is that rules are independent of model and data resources and therefore support ease of maintenance as well as partitioning of domain knowledge, both desirable features in a distributed environment. Our rule-based approach also supports data hierarchies, queries that require integrating information from multiple sources, and user-controlled automation of model composition and execution. We present details of a research prototype that validates ideas presented in this paper.