Abstract: As competition in the business world is getting tougher, many businesses are confronted with the need to effectively manage increasingly supply chain activities beyond their boundaries.  This paper is aimed at identifying the applications and challenges of big data analytics in supply chain management.  It examined the big data analytics and its processes;  supply chain management; big data analytics methods in supply chain management; applications of big data analytics in supply chain management; and challenges of apply big data analytics in supply chain management.  The paper revealed that big data analytics has been applied in diverse areas of supply chain management for various tasks of both supervised and unsupervised learning  for extraction of insights, patterns, and trends from varied data sources  in different formats. Big data analytics has faced a lot of challenges such as complexity of analysis, data quality and integration; and complexity of supply chain considering that supply chain management cut across chain of entities and activities that are connected to one another.  Hence there is need for an efficient supply chain data warehousing model for big data analytics for supply chain management that will effectively combine advanced analytics with accessible insights.

Keywords: Analytics Challenges and Applications, Big Data, Big data analytics, Data, Supply chain, Supply chain management.

Title: Big Data Analytics in Supply Chain Management: Applications and Challenges

Author: Odochi C-E Iheukwumere, Udoka F. Eze, Anthony I. Otuonye, Charles O. Ikerionwu

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 11, Issue 1, January 2024 - April 2024

Page No: 1-8

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 04-April-2024