Modeling the Enterprise Digital Twin: Towards an Open Platform for Analytics & Compliance Operations
| dc.contributor.author | Frerichs, Marc | |
| dc.contributor.author | Nüttgens, Markus | |
| dc.contributor.editor | Riebisch, Matthias | |
| dc.contributor.editor | Tropmann-Frick, Marina | |
| dc.date.accessioned | 2022-08-31T10:17:59Z | |
| dc.date.available | 2022-08-31T10:17:59Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | With its origins in the manufacturing and production sector, the concept of the Digital Twin has now become firmly established. Companies are increasingly relying on the potential advantages of operating a digital representation of their corporate structure with the Digital Twin of an Organization. This is done by incorporating relevant dynamic and operational data on the slower-changing structural data of traditional business. This paper deals with the question of how a digital twin can be designed and actually implemented, particularly taking into account data and processes extracted from business information systems. A real, implemented use case is used to show how operational decision-making can be supported by a digital twin and what role the concept of Hybrid Intelligence plays in this context. The findings of this work are the basis for an open platform for business analytics and resulting (semi-)automated actions, e.g., for implementation of compliance operations such as double payment analysis. | en |
| dc.identifier.doi | 10.18420/modellierung2022-008 | |
| dc.identifier.isbn | 978-3-88579-718-0 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39302 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Modellierung 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-324 | |
| dc.subject | Enterprise Digital Twin | |
| dc.subject | Digital Twin of an Organization | |
| dc.subject | Business Analytics | |
| dc.title | Modeling the Enterprise Digital Twin: Towards an Open Platform for Analytics & Compliance Operations | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 75 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 65 | |
| gi.conference.date | 27.Juni - 01.Juli 2022 | |
| gi.conference.location | Hamburg | |
| gi.conference.sessiontitle | Digital Twin |
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