Intelligent Business-IT Alignment with Enterprise Digital Twin

Geisser, Joël, 2019

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Laurenzi, Emanuele, Hinkelmann, Knut
Keywords
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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....
Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Geisser, Joël
Betreuende Dozierende
Laurenzi, Emanuele, Hinkelmann, Knut
Publikationsjahr
2019
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten