A review on knowledge extraction for Business operations using data mining

Abstract

The Knowledge Economy is of great importance in various business fields which had resulted in increased demand for the people having high order thinking skills and unpredicted-problem-solving at workplace. Every organization has a Knowledge Management (KM) department as Knowledge itself is a precious resource of the organization. The latest trends in KM include Customer and Vendor knowledge, Mobile Applications for KM, Collaborative Knowledge Management System (KMS) and Social intranet which can be integrated with business processes. The knowledge extracted can be stored and processed to enhance business intelligence. KM works with various business fields like Marketing, Sales, Human Resource, Operations, Supply Chain, etc. Due to frequent changes in operation of processes and Quality policies, the knowledge extracted from these processes can play a vital role in enhancing business processes. In this paper we had proposed various models of KM & Business Operations and the need of data mining technique which can be used to deliver appropriate knowledge to the user.