Intelligent business-IT alignment with enterprise digital twin
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2019
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
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Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
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Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Olten
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The health sector is directly affected by digital changes where new digital solutions promise a fundamental change for the traditional way of delivering health care. The development of eHealth is driven by the vision of an affordable global healthcare system and is an important driver of innovation in the field of intelligent, portable biosensors including their associated information and communication technologies. These changes will create new business opportunities which will improve overall public health, streamline processes and reduce costs.A manager must understand how to use the digital world and its side effects, in order to not seriously fall behind. As part of its digital strategy, a company aims to improve its performance by using technology to gain new competitive advantages. To address this need of corporate adaptation, an approach that combines domain knowledge and real-world data in a simulation model is applicated. The approach is based on the architecture model “Adaptive Enterprise”. At its core lies the “Enterprise Digital Twin”, which Gartner includes in the top 10 strategic technology trends for 2019. The model needs a suitable vehicle for it to be implemented and used to support the management. In this research, the digital twin is realized through a graph. A knowledge graph is the brain of the company and is closely related to the reality. The method of graph-based storage is a major change compared to the way data is organized and accessed in traditional databases. Therefore, this research examines if a knowledge graph-based approach for enterprise architecture can support the need of corporate adaptation....
Schlagwörter
Fachgebiet (DDC)
330 - Wirtschaft
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Begutachtung
Open Access-Status
Lizenz
Zitation
GEISSER, Joël, 2019. Intelligent business-IT alignment with enterprise digital twin. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/40418