DocumentCode
2000967
Title
Competitive advantage from data mining: some lessons learnt in the information systems field
Author
Pechenizkiy, Mykola ; Puuronen, Seppo ; Tsymbal, Alexey
Author_Institution
Dept. of Comput. Sci. & Inf. Syst., Jyvaskyla Univ., Finland
fYear
2005
fDate
22-26 Aug. 2005
Firstpage
733
Lastpage
737
Abstract
Data mining (DM) is still a technology having great expectations to enable organizations to take more benefit of their huge databases. There exist some success stories where organizations have managed to have competitive advantage of DM. Still the strong focus of most DM-researchers in technology-oriented topics does not support expanding the scope in less rigorous but practically very relevant sub-areas. The current situation with DM has similarities with situations during the development of some other information technology (IT)-related sub-areas earlier. Research in the information systems discipline (one of those IT-related sub-areas) has strong traditions to take into account human and organizational aspects of systems beside the technical ones. We suggest in this paper that these user and organization related research results and organizational settings include essential points of view with respect to developing DM research to produce practically more relevant results for domain areas where human and organizational things matter.
Keywords
competitive intelligence; data mining; management information systems; organisational aspects; very large databases; competitive advantage; data mining; information systems discipline; information technology; organizational aspects; Bridges; Data mining; Databases; Delta modulation; Educational institutions; Humans; Information systems; Information technology; Learning systems; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
ISSN
1529-4188
Print_ISBN
0-7695-2424-9
Type
conf
DOI
10.1109/DEXA.2005.64
Filename
1508360
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