Business analytics in the context of big data: A roadmap for research

Gloria Phillips-Wren, Lakshmi S. Iyer, Uday Kulkarni, Thilini Ariyachandra

Research output: Contribution to journalArticle

61 Scopus citations

Abstract

This paper builds on academic and industry discussions from the 2012 and 2013 pre-ICIS events: BI Congress III and the Special Interest Group on Decision Support Systems (SIGDSS) workshop, respectively. Recognizing the potential of “big data” to offer new insights for decision making and innovation, panelists at the two events discussed how organizations can use and manage big data for competitive advantage. In addition, expert panelists helped to identify research gaps. While emerging research in the academic community identifies some of the issues in acquiring, analyzing, and using big data, many of the new developments are occurring in the practitioner community. We bridge the gap between academic and practitioner research by presenting a big data analytics framework that depicts a process view of the components needed for big data analytics in organizations. Using practitioner interviews and literature from both academia and practice, we identify the current state of big data research guided by the framework and propose potential areas for future research to increase the relevance of academic research to practice.

Original languageEnglish (US)
Pages (from-to)448-472
Number of pages25
JournalCommunications of the Association for Information Systems
Volume37
StatePublished - 2015

Keywords

  • Big data
  • Business analytics
  • Business intelligence
  • Data governance
  • Data scientist
  • Decision support
  • Framework
  • Unstructured data

ASJC Scopus subject areas

  • Information Systems

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