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 language | English |
|---|---|
| Pages | 126-129 |
| Number of pages | 4 |
| State | Published - 2018 |
| Externally published | Yes |
| Event | 34th Information Systems Education Conference, ISECON 2018 - San Antonio, United States Duration: 5 Apr 2018 → 7 Apr 2018 |
Conference
| Conference | 34th Information Systems Education Conference, ISECON 2018 |
|---|---|
| Country/Territory | United States |
| City | San Antonio |
| Period | 5/04/18 → 7/04/18 |
Bibliographical note
Publisher Copyright:© 2018 34th Information Systems Education Conference. All Rights Reserved
Keywords
- Big data
- CRISP-DM model
- Competencies
- Data analytics
- Delphi technique
- Q methodology
- Virtual lab
ASJC Scopus subject areas
- Education
- Information Systems
- Software
