European Journal of Computer Science and Information Technology (EJCSIT)

EA Journals

Leveraging Business Intelligence and Analytics to Optimize Supply Chain Operations and Enhance Partner Collaboration

Abstract

This article examines the transformative role of Business Intelligence (BI) and advanced analytics in optimizing supply chain operations and enhancing partner collaboration. The article investigates how organizations are leveraging data-driven strategies to overcome complex supply chain challenges while fostering meaningful stakeholder relationships. Through comprehensive observation of global enterprises, the article demonstrates the significant impact of integrated BI solutions on operational efficiency, decision-making processes, and partner collaboration. The article explores the evolution of BI in supply chain management, presents an advanced analytics framework for optimization, and examines the enhancement of partner collaboration through data-driven insights. Additionally, it provides implementation strategies and best practices for organizations seeking to integrate BI and analytics solutions into their supply chain operations, highlighting both technical and organizational considerations for successful deployment

Keywords: Business Intelligence, Data Driven Decision Making, advanced analytics, partner collaboration, supply chain optimization

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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