Gilad Small

Gilad Ravid

Senior Academic

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

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

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.

Publication language English
Pages 126-129
Publication status Published - 01.01.2018

Keywords

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

ASJC Scopus subject areas

Education
Information Systems
Software

Sustainable Development Goals

SDG 8 - Decent Work and Economic Growth
SDG 4 - Quality Education
Other files and links
Link to publication in Scopus