Issues affecting the adoption of data mining in South Africa

Hart, ML; Davies, K; Barker-Goldie, E-J; Theron, A

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dc.contributor.author	Hart, ML
dc.contributor.author	Davies, K
dc.contributor.author	Barker-Goldie, E-J
dc.contributor.author	Theron, A
dc.contributor.editor	Renaud, K.
dc.contributor.editor	Kotze, P
dc.contributor.editor	Barnard, A
dc.date.accessioned	2018-08-23T09:50:21Z
dc.date.available	2018-08-23T09:50:21Z
dc.date.issued	2001
dc.identifier.citation	Hart, M.L., Davies, K., Barker-Goldie, E-J., & Theron, A. (2001) Issues affecting the adoption of data mining in South Africa. Hardware, Software and Peopleware: Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, University of South Africa, Pretoria, 25-28 September 2001	en
dc.identifier.isbn	1-86888-195-4
dc.identifier.uri	http://hdl.handle.net/10500/24757
dc.description.abstract	This research describes a study into the adoption of data mining (DM) techniques and tools in industry. They are seen by most companies interviewed as strategically important, with key applications varying per sector, but have not been seriously adopted by many. A framework reflecting issues pertaining to the adoption of data mining was proposed, and tested in interviews. Issues were divided into four main categories: Business Issues; Data Mining Technology Issues; Resource Issues and Organisational Issues. Results imply widely differing levels of importance attached to these, suggesting a revised framework of key barriers and enablers for successful adoption.	en
dc.language.iso	en	en
dc.subject	Data mining	en
dc.subject	Knowledge discovery	en
dc.subject	Adoption	en
dc.subject	Framework	en
dc.subject	Business intelligence	en
dc.title	Issues affecting the adoption of data mining in South Africa	en