Designing Expert Financial Systems: A Case Study of Corporate Credit Management

Srinivasan, Venkat; Kim, Yong H.
September 1988
FM: The Journal of the Financial Management Association;Autumn88, Vol. 17 Issue 3, p32
Academic Journal
Case Study
This article has attempted to describe an expert credit granting prototype designed for a Fortune 500 corporation. The focus has been on the conceptual process undertaken for designing the prototype. The model base and rules that comprise the prototype are a combination of normative prescriptions and managerial preferences presented in a user-friendly environment. Issues that need conscious recognition in implementing such expert systems in corporate finance were also brought forth. Tremendous progress in computer and information technologies during the last two decades has induced a qualitative change in the potential use of computers in decision making. The adaptation of such technological advances to support decision making has manifested itself in two classes of systems: decision support systems (DSS) and expert systems (ES). DSS originated with the idea that technological advances can be channeled to support and improve the effectiveness of managerial decision making. The emphasis in a traditional DSS is, therefore, on supporting managers and not replacing them. On the other hand, ES are an outgrowth of attempts to apply artificial intelligence technology and create intelligent systems that are used not only to perform storage, retrieval, and computational tasks, but analytical and inferential tasks as well. This is a modest attempt to provide a conceptual foundation to this notion and illustrate its feasibility.


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