Big data analytics: Service and manufacturing industries perspectives

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

    Research output: Chapter in Book/Conference proceedingBook Chapterpeer-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 languageEnglish
    Title of host publicationSupply Chain Management in the Big Data Era
    PublisherIGI Global
    Pages13-23
    Number of pages11
    ISBN (Electronic)9781522509578
    ISBN (Print)9781522509561
    DOIs
    Publication statusPublished - 4 Nov 2016

    ASJC Scopus subject areas

    • Business, Management and Accounting (all)
    • Computer Science (all)
    • Economics, Econometrics and Finance (all)

    Fingerprint

    Dive into the research topics of 'Big data analytics: Service and manufacturing industries perspectives'. Together they form a unique fingerprint.

    Cite this