Linkage Knowledge Management and Data Mining in E-business: Case study

Abstract

E-business has changed the face of most business functions in competitive enterprises. E-business functions are enterprise resource planning (ERP) and related systems such as supply chain management (SCM) and customer relationship management (CRM), are incorporating decision support tools and technologies. Data mining has matured as a field of basic and applied research in e-business. Effective knowledge management (KM) enhances products, improves operational efficiency, speeds deployment, increases sales and profits, and creates customer satisfaction. The aim of this study is to make an association with e-business, KM and data mining. Therefore, firstly, it will brief review the existing on knowledge management, e-business, and data mining, decision support system. We then present on linkages or supplementary relationships between the knowledge management and e-business with data mining. Secondly, knowledge, knowledge management and knowledge process is defined, and point out the need for integration with e-business. Thirdly, it introduces data mining and examined data mining in data warehouse environment. Fourth, the e-business is defined. Using this definition, it can drive e-business application architecture and knowledge process frameworks with business process. Finally, Integrating Intelligent Decision Support System and knowledge management with data mining model is discussed. It presents the proposed KM architecture and discusses how decision support system and data mining can enhance KM. In this study some suggestions are made to get knowledge with data mining, which will help, for the improvement of e-business. Chinese Motor Corporation's knowledge and Sequent Computer's knowledge are discussed.