Data-Driven Decision Making in Global Business Strategies

  • Jordon Smith Department of Computer Science, University of Cambridge
Keywords: Data-driven Decision Making, Global Business Strategies, Advanced Analytics, Business Intelligence (BI, Strategic Planning, Market Expansion, Risk Management

Abstract

Data-driven decision-making has become a cornerstone in shaping global business strategies, providing organizations with a competitive edge in the dynamic and interconnected global marketplace. This paper explores the significance of leveraging data for informed decision-making in the context of global business operations. It delves into the challenges and opportunities associated with harnessing large datasets, advanced analytics, and business intelligence tools to enhance decision-making processes. The abstract highlights the transformative impact of data-driven approaches on strategic planning, market expansion, risk management, and overall business performance in the global landscape. By examining case studies and best practices, this paper aims to provide insights into how organizations can effectively integrate data-driven decision-making into their global business strategies to achieve sustainable growth and competitiveness.

Published
2023-03-31
How to Cite
Jordon Smith. (2023). Data-Driven Decision Making in Global Business Strategies. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(1), 628-635. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/349