Utilizing Blockchain and Big Data to Integrate Predictive Analytics and Financial Metrics for Revolution Zing Global Supply Chain Networks

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Authors: Olaide Oluwatobi Ogundolapo, Joy Onma Enyejo, Toyosi Motilola Olola
Cited by: 0
References: 36

Abstract

The rapid evolution of technology has significantly transformed supply chain management and finance, with blockchain and big data emerging as pivotal drivers of innovation. This paper explores how the integration of blockchain and big data enables predictive analytics and financial metrics to revolutionize global supply chain networks. Blockchain enhances transparency, traceability, and security, while big data analytics provides actionable insights for optimizing supply chain processes and financial decision-making. By leveraging predictive analytics, stakeholders can anticipate demand fluctuations, mitigate risks, and improve operational efficiency. Furthermore, the fusion of financial metrics with advanced analytics facilitates more accurate forecasting, enhanced liquidity management, and streamlined supply chain financing. This study also examines real-world applications and case studies, highlighting the benefits of these technologies in creating resilient, efficient, and financially sustainable supply chain systems. The findings emphasize the potential of blockchain and big data as catalysts for driving innovation and ensuring long-term competitiveness in global markets.

Fields of Study & Subjects

Blockchain Technology Applications and Security Big Data and Business Intelligence Impact of AI and Big Data on Business and Society

Publication details

Journal / source
International Journal of Scientific Research in Science Engineering and Technology
Volume
13
Issue
1
Pages
94–109
Publication date
12 January 2026