IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Big Data Analytics in Supply Chain Management

Big Data Analytics in Supply Chain Management
View Sample PDF
Author(s): Nenad Stefanovic (Faculty of Science, University of Kragujevac, Serbia)
Copyright: 2021
Pages: 15
Source title: Encyclopedia of Organizational Knowledge, Administration, and Technology
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3473-1.ch169

Purchase

View Big Data Analytics in Supply Chain Management on the publisher's website for pricing and purchasing information.

Abstract

The current approach to supply chain intelligence has some fundamental challenges when confronted with the scale and characteristics of big data. In this chapter, applications, challenges and new trends in supply chain big data analytics are discussed and background research of big data initiatives related to supply chain management is provided. The methodology and the unified model for supply chain big data analytics which comprises the whole business intelligence (data science) lifecycle is described. It enables creation of the next-generation cloud-based big data systems that can create strategic value and improve performance of supply chains. Finally, example of supply chain big data solution that illustrates applicability and effectiveness of the model is presented.

Related Content

Anastasia A. Katou, Mohinder Chand Dhiman, Anastasia Vayona, Maria Gianni. © 2024. 22 pages.
José Ricardo Andrade. © 2024. 20 pages.
Richa Kapoor Mehra. © 2024. 17 pages.
Rajwant Kaur. © 2024. 14 pages.
Namrita Kalia. © 2024. 14 pages.
Hasiba Salihy, Dipanker Sharma. © 2024. 14 pages.
Priya Sharma, Rozy Dhanta, Atul Sharma. © 2024. 20 pages.
Body Bottom