The Intersection of Data Science, Technology, and Business Intelligence

Authors

  • Susan Red

Keywords:

Data Science, Technology, Business Intelligence, Decision-making, Data-driven approaches, Innovation, Operational efficiency, Competitive edge

Abstract

The convergence of Data Science, Technology, and Business Intelligence has transformed the landscape of decision-making and strategic planning across industries. This article delves into the intricate relationship between these disciplines and explores how their integration has revolutionized data-driven approaches to problem-solving and optimization. By analyzing the symbiotic interaction of Data Science, Technology, and Business Intelligence, we highlight the potential for businesses to gain a competitive edge, improve operational efficiency, and drive innovation. The article discusses the key challenges and opportunities presented by this intersection and provides insights into fostering a data-centric culture that maximizes the value of information for organizational success.

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Published

2022-03-31

How to Cite

The Intersection of Data Science, Technology, and Business Intelligence. (2022). International Multidisciplinary Journal Of Science, Technology & Business, 1(01), 1-3. https://imjstb.com/index.php/Journal/article/view/3

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