A Delphi study of competencies and skills for data analytics (WIP)

Orli Weiser, Yoram M. Kalman, Carmel Kent, Gilad Ravid

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The ability to collect digital records, analyze them and effectively communicate the findings is emerging as a key competency set for graduates of management programs and of other social science programs. This work-in-progress extended abstract describes a Delphi study of the competencies needed for effective data analytics. Fifty international experts will be invited to participate in the study and share their opinion regarding cognitive, intrapersonal and interpersonal competencies. The output collected will be analyzed using "Q methodology". The results of this study will serve us in developing a data-analytics student lab that will support the development of these competencies and improve student readiness for the future labor market.

Original languageEnglish GB
Title of host publicationInformation Systems Education Conference (ISECON) 2018, San Antonio, Texas
Pages126-129
StatePublished - 1 Jan 2018
Event34th Information Systems Education Conference, ISECON 2018 - San Antonio, United States
Duration: 5 Apr 20187 Apr 2018

Conference

Conference34th Information Systems Education Conference, ISECON 2018
Country/TerritoryUnited States
CitySan Antonio
Period5/04/187/04/18

Keywords

  • Big data
  • Competencies
  • CRISP-DM model
  • Data analytics
  • Delphi technique
  • Q methodology
  • Virtual lab

ASJC Scopus subject areas

  • Education
  • Information Systems
  • Software

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