Big Data Technology: Challenges, Prospects, and Realities

Nitin Singh, Kee Hung Lai, Markus Vejvar, T. C.E. Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

We attempt to demonstrate the value of big data to enterprises by interweaving the perceptions, challenges, and opportunities of big data for businesses. While enterprises are aware of the value of big data to their businesses, there are challenges of exploiting big data in terms of data quality and usage. Executives might lack knowledge on how applications are related to one another in the big data ecosystem and the business benefits to reap. We summarize the results of a research study that explores emerging business perceptions of big data. We examine the current practice in 20 large enterprises, each having an annual revenue of more than USD 0.5 billion and present our findings related to executive perceptions. We provide insights on how firms can develop their big data expertise along various dimensions and identify critical ideas to be further investigated to better understand the issues that practitioners and researchers might be equally grappling with.

Original languageEnglish
Article number8658160
Pages (from-to)58-66
Number of pages9
JournalIEEE Engineering Management Review
Volume47
Issue number1
DOIs
Publication statusPublished - Mar 2019

Keywords

  • Big data
  • business analytics
  • Hadoop
  • implementation
  • people
  • talent gap

ASJC Scopus subject areas

  • Strategy and Management
  • Electrical and Electronic Engineering

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