Data Mining as a Technique for Knowledge Management in Business Process Redesign

Authors

  • Olusegun Folorunso
  • Adewale O. Ogunde

Keywords:

Data Mining, Knowledge Management, Business Process Redesign, Business reengineering, Artificial Neural Networks

Abstract

Business Process Redesign (BPR) is undertaken to achieve order‑of‑magnitude improvements over 'old' form of the organisation. Practitioners in the academia and business world have developed a number of methodologies to support this competitive restructuring that forms the current focus of concern, many of which have not been successful. This paper suggests the use of Data Mining (DM) as a technique to support the process of redesigning a business by extracting the much‑needed knowledge hidden in large volumes of data maintained by the organization through the DM models.

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Published

1 Jan 2004

Issue

Vol. 2 No. 1 (2004)

Section

Articles

License

Open Access Publishing

The Electronic Journal of Knowledge Maangement operates an Open Access Policy. This means that users can read, download, copy, distribute, print, search, or link to the full texts of articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, is that authors control  the integrity of their work, which should be properly acknowledged and cited.