Logo des Repositoriums
 

Modeling the Enterprise Digital Twin: Towards an Open Platform for Analytics & Compliance Operations

dc.contributor.authorFrerichs, Marc
dc.contributor.authorNüttgens, Markus
dc.contributor.editorRiebisch, Matthias
dc.contributor.editorTropmann-Frick, Marina
dc.date.accessioned2022-08-31T10:17:59Z
dc.date.available2022-08-31T10:17:59Z
dc.date.issued2022
dc.description.abstractWith 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.doi10.18420/modellierung2022-008
dc.identifier.isbn978-3-88579-718-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39302
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofModellierung 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-324
dc.subjectEnterprise Digital Twin
dc.subjectDigital Twin of an Organization
dc.subjectBusiness Analytics
dc.titleModeling the Enterprise Digital Twin: Towards an Open Platform for Analytics & Compliance Operationsen
dc.typeText/Conference Paper
gi.citation.endPage75
gi.citation.publisherPlaceBonn
gi.citation.startPage65
gi.conference.date27.Juni - 01.Juli 2022
gi.conference.locationHamburg
gi.conference.sessiontitleDigital Twin

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
03.pdf
Größe:
595.59 KB
Format:
Adobe Portable Document Format