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A knowledge warehouse system for enterprise resource planning systems
Author(s) -
Zhang Hong,
Liang Yin
Publication year - 2006
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.753
Subject(s) - data warehouse , online analytical processing , computer science , knowledge management , tacit knowledge , warehouse , dimensional modeling , enterprise resource planning , decision support system , function (biology) , knowledge extraction , resource (disambiguation) , knowledge worker , business intelligence , database , data mining , business , engineering , mechanical engineering , computer network , marketing , evolutionary biology , biology , work (physics)
In this paper, a model of a data warehouse based on an ERP system is presented. A traditional data warehouse has the function of providing data to decision support systems (DSS) or online analytical processing systems (OLAP) but not knowledge. This paper proposes that an existing data warehouse can be extended to create a knowledge warehouse for knowledge management. The knowledge warehouse can manage not only data and information but also the knowledge assets of an enterprise. Both tacit knowledge and explicit knowledge can be analysed, integrated, and converted; new knowledge can be created through the synergistic interactions within the knowledge warehouse. In this paper, knowledge warehouse architecture based on ERP, how it works, and related technologies are discussed. The knowledge warehouse will provide more effective support for DSS and OLAP. Copyright © 2006 John Wiley & Sons, Ltd.