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Defining business analytics: an empirical approach

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  • D. J. Power
  • C. Heavin
  • J. McDermott
  • M. Daly

Abstract

Searches of the Web using Google, and database searches of the academic and practitioner literature, return a large number of differing and varied definitions of the concept of business analytics. This article reviews the growing literature on Business Analytics (BA) using traditional and qualitative research tools. Our searches included using Google Search to identify examples of business analytics applications, and a focused keyword search of the available practitioner and academic literatures. Text analytics techniques identified frequently used terms in prior definitions of business analytics. Our empirical, inductive approach provides a basis for proposing and explaining a formal sentence definition for Business Analytics. The analysis provides a starting point for operationalising a measure for the business analytics construct. Additionally, understanding business analytics can help managers assess skill deficiencies and evaluate claims about relevance of tools and techniques. Finally, carefully defining the Business Analytics concept should provide stimulus for new research ideas.

Suggested Citation

  • D. J. Power & C. Heavin & J. McDermott & M. Daly, 2018. "Defining business analytics: an empirical approach," Journal of Business Analytics, Taylor & Francis Journals, vol. 1(1), pages 40-53, January.
    • Handle: RePEc:taf:tjbaxx:v:1:y:2018:i:1:p:40-53
    DOI: 10.1080/2573234X.2018.1507605
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    1. repec:zib:zibaem:v:7:y:2023:i:2:p:38-48 is not listed on IDEAS
    2. Danny Weathers & Scott D. Swain, 2024. "A scaffolded learning approach to increasing student comfort with Microsoft Excel," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 198-208, June.

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