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Assessing the Overall Impact of Data Analytics on Company Decision Making and Innovation

Author

Listed:
  • Tor Guimaraes

    (Tennessee Technological University, USA)

  • Ketan Paranjape

    (Roche Diagnostics Corporation, USA)

Abstract

To assess the impact of big data analytics (BDA) on company decision making, data was collected from 225 company top managers and chief data officers in charge of the BDA group to empirically test this relationship. The data represents a sample of companies which have formally implemented BDA for at least three years with varying degrees of success. Despite considerable differences from company to company, on average the results corroborated the importance of the BDA function along four dimensions (BDA tools and methods, personnel technical proficiency, company readiness, and applications quality) in supporting company decision making toward business innovation. Managers responsible for implementing BDA in their companies should seriously consider these findings to improve the likelihood of success in their projects. The results also call for the identification of other potential determinants for BDA success as a tool for company innovation, as well as potential moderators and mediators for inclusion in a more comprehensive model.

Suggested Citation

  • Tor Guimaraes & Ketan Paranjape, 2021. "Assessing the Overall Impact of Data Analytics on Company Decision Making and Innovation," International Journal of Business Analytics (IJBAN), IGI Global, vol. 8(4), pages 34-51, October.
  • Handle: RePEc:igg:jban00:v:8:y:2021:i:4:p:34-51
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    Cited by:

    1. Tüzin Akçinar Günsari & Aysegül Kaya & Yeliz Ekinci, 2022. "Forecasting Preliminary Order Cost to Increase Order Management Performance: A Case Study in the Apparel Industry," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(5), pages 1-15, January.

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