Big data analytics: Service and manufacturing industries perspectives

Nachiappan Subramanian; Muhammad D. Abdulrahman; Hing Kai Chan; Kun Ning

doi:10.4018/978-1-5225-0956-1.ch002

Big data analytics: Service and manufacturing industries perspectives

Nachiappan Subramanian, Muhammad D. Abdulrahman, Hing Kai Chan, Kun Ning

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

1 Citation (Scopus)

Abstract

In this chapter, we will introduce practical issues and implementation challenges from the industry perspective. In particular, we explain three aspects based on the panel discussions from the set of representatives participated in a big data conference from three dominant industries such as e-commerce, health care and computer hardware, which are sought of big data for their growth and development. We introduce overall challenges and explain typical industry based practical issues, how they visualize the big picture for their strategic development and how industries are gearing towards converting the challenges to big opportunities through the partnership of universities. Finally, based on the content analysis we offer potential trends and future research directions.

Original language	English
Title of host publication	Supply Chain Management in the Big Data Era
Publisher	IGI Global
Pages	13-23
Number of pages	11
ISBN (Electronic)	9781522509578
ISBN (Print)	9781522509561
DOIs	https://doi.org/10.4018/978-1-5225-0956-1.ch002
Publication status	Published - 4 Nov 2016

ASJC Scopus subject areas

General Computer Science
General Economics,Econometrics and Finance
General Business,Management and Accounting

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10.4018/978-1-5225-0956-1.ch002

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ER -

Big data analytics: Service and manufacturing industries perspectives

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ASJC Scopus subject areas

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