| Item Type |
Conference or Workshop Item
(Other)
|
| Abstract |
The increasing availability of data and advances in data processing and analysis methods have led to a flourishing of data science and business analytics. This not only constitutes new research efforts in information systems research (e.g. artificial intelligence (AI), processing of unstructured data, decision support systems, or visualization), but also has a significant impact on established topics in information systems research such as business intelligence and decision support systems. In this track, we welcomed the entire diversity of information systems research efforts in the fields of data science and business analytics and were open to all methodological approaches. |
| Authors |
Blohm, Ivo; Dinter, Barbara & Kliewer, Natalia |
| Research Team |
IWI6, CCC |
| Journal or Publication Title |
Proceedings International Conference on Wirtschaftsinformaik 2020 |
| Language |
English |
| Subjects |
information management |
| HSG Classification |
contribution to scientific community |
| HSG Profile Area |
SoM - Business Innovation |
| Date |
9 March 2021 |
| Publisher |
Assocociation for Information Systems |
| Place of Publication |
Essen, Germany |
| Event Title |
International Conference on Wirtschaftsinformaik 2020 |
| Event Location |
Essen, Germany |
| Event Dates |
09-11.03.2021 |
| Depositing User |
Prof. Dr. Ivo Blohm
|
| Date Deposited |
08 Feb 2021 17:05 |
| Last Modified |
20 Jul 2022 17:44 |
| URI: |
https://www.alexandria.unisg.ch/publications/262296 |
Introduction to the WI2021 Track: Data Science & Business Analytics
![[img]](http://www.alexandria.unisg.ch/style/images/fileicons/oa_orange.png)
