Business Analytics as a Strategic Enabler in the Age of Artificial Intelligence
DOI:
https://doi.org/10.63516/Abstract
The rapid advancement of artificial intelligence (AI) has transformed the contemporary business environment, redefining how organizations generate value, compete, and sustain growth. In this context, business analytics has emerged as a strategic enabler that allows firms to effectively harness AI technologies and convert data-driven capabilities into informed managerial decisions. Rather than functioning as a purely technical tool, business analytics now occupies a central position in organizational strategy.
References
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly, 36(4), 1165–1188.
Davenport, T. H., & Harris, J. G. (2007). Competing on analytics: The new science of winning. Harvard Business School Press.
Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (2020). Expanding AI’s impact with organizational learning. MIT Sloan Management Review, 61(4), 1–10.
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77–84.
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