Exploring the usage of big data analytical tools in telecommunication industry in Oman

Himyar Ali Al Jabri, Ali H. Al-Badi, Oualid Ali

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Big Data has recently become a very hot topic in the field of Information Technology and Data Management. Data generated by the company's daily operations through different resources such as social media, etc. is very important because it can bring a value that will lead to a competitive advantage. The objectives of this research are to: 1) Explore the analytical tools used to manipulate Big Data in Omani telecom industry, 2) Present the benefits of using these tools, the extent of use, and the features specifically promoted these tools, and 3) Highlight the challenges/obstacles that the telecom industry in Oman facing in adopting/using Big Data analytical tools. To achieve the research objectives two case studies were conducted among the main telecom operators in Oman. This research concluded that both studied telecom operators in Oman are not ready for the DBAs. Both operators need to invest in developing the capabilities that enable them to use these tools. Once that is satisfied, then other components like the infrastructure, tools, and data can be managed very well.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalInformation Resources Management Journal
Volume30
Issue number1
DOIs
Publication statusPublished - Jan 1 2017

Fingerprint

Oman
telecommunication
industry
social media
Telecommunications industry
information technology
infrastructure
present
management
resources
Operator
Values

Keywords

  • Analytics
  • BDA
  • Big data
  • Big data analytics
  • Oman
  • Telecom

ASJC Scopus subject areas

  • Business and International Management
  • Strategy and Management
  • Library and Information Sciences

Cite this

Exploring the usage of big data analytical tools in telecommunication industry in Oman. / Al Jabri, Himyar Ali; Al-Badi, Ali H.; Ali, Oualid.

In: Information Resources Management Journal, Vol. 30, No. 1, 01.01.2017, p. 1-14.

Research output: Contribution to journalArticle

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