A case analysis of embryonic data mining success

Within highly competitive business environments, data mining (DM) is viewed as a significant technology to enhance decision-making processes by transforming data into valuable and actionable information to gain competitive advantage. There appears, however, to be a dearth of empirical case studies w...

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Bibliographic Details
Published in:International journal of information management 2015-04, Vol.35 (2), p.253-259
Main Authors: Bole, Uroš, Popovič, Aleš, Žabkar, Jure, Papa, Gregor, Jaklič, Jurij
Format: Article
Language:English
Subjects:
Case analysis
Competitive advantage
Competitive business
Critical success factors
Data mining
Decision making
Decision support systems
Empirical analysis
Foundations
Gain
Information management
Management
Methods
Predictive analytics
Strategy
Studies
Success
Success factors
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Summary:Within highly competitive business environments, data mining (DM) is viewed as a significant technology to enhance decision-making processes by transforming data into valuable and actionable information to gain competitive advantage. There appears, however, to be a dearth of empirical case studies which consider in detail the initial stages in DM management to enable apt foundation for its later successful implementation. Our research applied a multi-method strategy to determine the critical success factors of embryonic DM implementation. We propose and validate, through a series of cases, a conceptual framework to guide practitioners’ adoption of DM. Our findings reveal additional issues for applied decision making in the context of DM success.
ISSN:0268-4012
1873-4707
DOI:10.1016/j.ijinfomgt.2014.12.001