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What is Big Data Analytics (BDA)

Chapter 5
Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
Analytics is the discovery, interpretation, and visualization of meaningful patterns in Big Data. In order to do this, analytics use data classification and clustering mechanisms.
Published in Chapter:
A Review of Big Data Analytics for the Internet of Things Applications in Supply Chain Management
Kamalendu Pal (City, University of London, UK)
Copyright: © 2023 |Pages: 25
DOI: 10.4018/978-1-7998-7852-0.ch005
Abstract
The internet of things (IoT) presents opportunities that enable communication between virtual and physical objects. It produces new digitized services that improve supply chain performance. Moreover, artificial intelligence (AI) techniques resolve unpredictable, dynamic, and complex global product development and supply chain-related problems. In this operating environment, heterogeneous enterprise applications, either manufacturing or supply chain management, either inside a single enterprise or among network enterprises, require sharing information. Thus, data management and its analytical interpretation have become a significant drivers for management and product development in networked enterprises. This chapter describes an information systems framework for the global product development purpose, and it also highlights how businesses can use business intelligence from gathered data from IoT applications. Finally, the chapter describes important categories of Big Data analytics applications for the supply chain operations reference (SCOR) model, and it also presents a data processing framework for supply chain management (SCM).
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 1
Audit Digitalization, Do-Calculus, and Professional Judgment: A Practical Evidence From China
Big data analysis is the process of collecting, examining, and analyzing large amounts of data to discover market trends, insights, and patterns, thereby helping companies make better business decisions. These pieces of information can be quickly and effectively obtained, enabling companies to flexibly develop plans to maintain a competitive advantage.
Published in Chapter: Audit Digitalization, Do-Calculus, and Professional Judgment: A Practical Evidence From China; From: Harnessing Technology for Knowledge Transfer in Accountancy, Auditing, and Finance
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Chapter 12
Information System Architecture in Apparel Production for Maintaining Supply Chain Sustainability
Analytics is the discovery, interpretation, and visualization of meaningful patterns in Big Data. In order to do this, analytics use data classification and clustering mechanisms.
Published in Chapter: Information System Architecture in Apparel Production for Maintaining Supply Chain Sustainability; From: Integrating Intelligence and Sustainability in Supply Chains
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Big Data Challenges and Solutions in the Medical Industries
BDA is the way toward analyzing expansive and changed informational indexes (i.e., huge information to reveal shrouded designs, obscure relationships, advertise patterns, client inclinations, and other valuable data) that can help associations settle on more-educated business choices.
Published in Chapter: Big Data Challenges and Solutions in the Medical Industries; From: Handbook of Research on Pattern Engineering System Development for Big Data Analytics
Full Text Chapter Download: US $37.50 Add to Cart
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