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Intelligent customer relationship management (ICRM) by EFLOW portal

Baracskai, Z. and Bevanda, V. and Dörfler, V. (2002) Intelligent customer relationship management (ICRM) by EFLOW portal. In: Intelligent information systems symposium, 2002-06-03 - 2002-06-06, Varaždin, Croatia.

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    Abstract

    Customer relationship management (CRM) has become a strategic initiative aimed at getting, growing, and retaining the right customers. A great amount of numeric data and even more soft information are available about customers. The strategy of building and maintaining customer relations can be described with 'if… then' rules acquired from experts. Doctus Knowledge-Based System provides a new and simplified approach in the field of knowledge management. It is able to cope with tacit and implicit rules at the same time, so decision makers can clearly see the satisfactory solution (then and there). It reasons both deductive and inductive, so it enables the user to check on the model graph why is the chosen solution in the given situation most appropriate. It is upgradeable with in telligent portal, which presents the personalized (body-tailored) information for decision makers. When we need some hard data from a database or a data warehouse, we have automatic connection between case input interface and the database. Doctus recognizes the relations between the data, it selects them and provides only the needed rules to the decision maker. Intelligent portal puts our experience on the web, so our knowledge base is constantly improving with new 'if… then' rules. We support decision mak ing with two interfaces. On the Developer Interface the attributes, the values and the 'if… then' rules can be modified. The intelligent portal is used as a managerial decision support tool. This interface can be used without seeing the knowledge base, we only see the personalized soft information. ICRM (intelligent Customer Relationship Management) helps customer to get the requested information quickly. It is also capable of customizing the questionnaires, so the customer doesn't have to answer irrelevant questions and the decision maker doesn't have to read endless reports.

    Item type: Conference or Workshop Item (Paper)
    ID code: 9682
    Keywords: business intelligence, knowledge-based system, intelligent portal, data mining, Management. Industrial Management
    Subjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management
    Department: Strathclyde Business School > Management Science
    Related URLs:
      Depositing user: Strathprints Administrator
      Date Deposited: 19 Mar 2010 09:47
      Last modified: 04 Oct 2012 22:49
      URI: http://strathprints.strath.ac.uk/id/eprint/9682

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