A case analysis of embryonic data mining success

Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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. (C) 2014 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)253-259
Number of pages7
JournalInternational Journal Of Information Management
Volume35
Issue number2
DOIs
Publication statusPublished - Apr 2015

Keywords

  • Data mining
  • Predictive analytics
  • Critical success factors
  • Case analysis
  • BUSINESS INTELLIGENCE
  • SYSTEMS
  • KNOWLEDGE
  • PROJECTS
  • SUPPORT
  • LESSONS

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