A knowledge management approach to data mining process for business intelligence

A knowledge management approach to data mining process for business intelligence Purpose – Data mining (DM) has been considered to be a tool of business intelligence (BI) for knowledge discovery. Recent discussions in this field state that DM does not contribute to business in a large‐scale. The purpose of this paper is to discuss the importance of business insiders in the process of knowledge development to make DM more relevant to business. Design/methodology/approach – This paper proposes a blog‐based model of knowledge sharing system to support the DM process for effective BI. Findings – Through an illustrative case study, the paper has demonstrated the usefulness of the model of knowledge sharing system for DM in the dynamic transformation of explicit and tacit knowledge for BI. DM can be an effective BI tool only when business insiders are involved and organizational knowledge sharing is implemented. Practical implications – The structure of blog‐based knowledge sharing systems for DM process can be practically applied to enterprises for BI. Originality/value – The paper suggests that any significant DM process in the BI context must involve data miner centered DM cycle and business insider centered knowledge development cycle. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

A knowledge management approach to data mining process for business intelligence

Industrial Management & Data Systems, Volume 108 (5): 13 – May 23, 2008

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-5577
DOI
10.1108/02635570810876750
Publisher site
See Article on Publisher Site

Abstract

Purpose – Data mining (DM) has been considered to be a tool of business intelligence (BI) for knowledge discovery. Recent discussions in this field state that DM does not contribute to business in a large‐scale. The purpose of this paper is to discuss the importance of business insiders in the process of knowledge development to make DM more relevant to business. Design/methodology/approach – This paper proposes a blog‐based model of knowledge sharing system to support the DM process for effective BI. Findings – Through an illustrative case study, the paper has demonstrated the usefulness of the model of knowledge sharing system for DM in the dynamic transformation of explicit and tacit knowledge for BI. DM can be an effective BI tool only when business insiders are involved and organizational knowledge sharing is implemented. Practical implications – The structure of blog‐based knowledge sharing systems for DM process can be practically applied to enterprises for BI. Originality/value – The paper suggests that any significant DM process in the BI context must involve data miner centered DM cycle and business insider centered knowledge development cycle.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: May 23, 2008

Keywords: Data mining; Business intelligence; Knowledge management; Knowledge sharing; Blogs

References

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