Implementing big data strategies: A managerial perspective

Pooya Tabesh, Elham Mousavidin and Sona Hasani

Business Horizons, 2019, vol. 62, issue 3, 347-358

Abstract: Despite considerable recent advances in big data analytics, there is substantial evidence that many organizations have failed to incorporate them effectively in their own decision-making processes. Advancing the existing understandings, this article lays out the steps necessary to implement big data strategies successfully. To this end, we first explain how the big data analytics cycle can provide useful insights into the characteristics of the environments in which many organizations operate. Next, we review some common challenges faced by many organizations in their uses of big data analytics and offer specific recommendations for mitigating them. Among these recommendations, which are rooted in the findings of strategy implementation research, we emphasize managerial responsibilities in providing continued commitment and support, the effective communication and coordination of efforts, and the development of big data knowledge and expertise. Finally, in order to help managers obtain a fundamental knowledge of big data analytics, we provide an easy-to-understand explanation of important big data algorithms and illustrate their successful applications through a number of real-life examples.

Keywords: Big data analytics; Decision making; Big data strategy; Big data applications; Strategy implementation; Machine learning (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:bushor:v:62:y:2019:i:3:p:347-358

DOI: 10.1016/j.bushor.2019.02.001

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