Mike Hart - Progress of organisational data mining in South Africa

arima:1875 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, October 23, 2007, Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques - https://doi.org/10.46298/arima.1875
Progress of organisational data mining in South AfricaArticle

Authors: Mike Hart 1

  • 1 Department of Information Systems

This paper describes three largely qualitative studies, spread over a five year period, into the current practice of data mining in several large South African organisations. The objective was to gain an understanding through in-depth interviews of the major issues faced by participants in the data mining process. The focus is more on the organisational, resource and business issues than on technological or algorithmic aspects. Strong progress is revealed to have been made over this period, and a model for the data mining organisation is proposed.


Volume: Volume 6, april 2007, joint Special Issue ARIMA/SACJ on Advances in end-user data mining techniques
Published on: October 23, 2007
Submitted on: April 16, 2007
Keywords: data warehouse, business intelligence,data mining,data warehouse,informatique décisionnelle,[INFO] Computer Science [cs],[MATH] Mathematics [math]

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