Business Intelligence through Hybrid Intelligent System Approach: Application to Retail Banking
نویسنده
چکیده
The traditional decision support systems use analytical tools while the latest trend has been using various business intelligence tools. While analytical methods in decisionmaking help the managers in managing organizational resources optimally, knowledgebased intelligent systems help to automate expertise and reuse experience. Instead of solving a problem using a single intelligent technique like expert system or neural network alone, these can be integrated to model and solve the problems. Integration of analytical methods and intelligent techniques further makes it powerful combination of knowledge, experience and mathematical/statistical modeling. Such a hybrid framework applied to retail banking has been described and discussed.
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تاریخ انتشار 2009