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Knowledge Discovery in Database: A Knowledge Management Strategic Approach

Knowledge management had been a critical focus and interest in Information Technology, especially as it affects business organizations through the implementation of business intelligence and expertise. Knowledge discovery and knowledge conversion (tacit/implicit to explicit knowledge) play important roles in these aspects; through the application of technologies in the SECI model to aid knowledge management, and identifying the sources of the expertise whether in humans or physical databases serve as the basis for expertise’s knowledge management. This paper presents in detail the significances of knowledge discovery in databases (KDD) in achieving an all encompassing knowledge management strategy. This strategy must comprise of transparent and multiple interrelationships of organizational agents through shared mental maps, collaborative and distributed technologies, and solves all problem in other ways with a special focus on data mining which is also found in the KDD process. Extensive literatures were reviewed to operationalize Knowledge discovery in human and in data ware houses as its affect knowledge management, and bring to the fore the processes involved in KDD process, its applications, understanding using SECI model, possible challenges, and suggest the future research areas to solve the observed challenges.