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Digital Twin Technology in Financial Services

Authors: Kazakbaeva, Azhar;

Digital Twin Technology in Financial Services

Abstract

The focus of this thesis is the exploration of potential use cases of digital twins in financial services. This study explores the use cases, benefits, and challenges of the implementation to define the value and impact this technology can bring to financial services. As a result of the case study, four potential use cases of digital twins were identified, as well as four benefits and four challenges of digital twin adoption. The main contribution of this research is a framework that can help practitioners and researchers understand how digital twins can be utilized in financial companies

Selle lõputöö keskmes on digitaalsete kaksikute võimalike kasutusjuhtude uurimine finantsteenustes. Selles uuringus uuritakse juurutamise kasutusjuhtumeid, eeliseid ja väljakutseid, et määratleda väärtust ja mõju, mida see tehnoloogia võib finantsteenustele tuua. Juhtumiuuringu tulemusel tuvastati neli digitaalsete kaksikute võimalikku kasutusjuhtu ning neli eelist ja neli väljakutset digitaalse kaksiku kasutuselevõtul. Selle uurimistöö peamine panus on raamistik, mis aitab praktikutel ja teadlastel mõista, kuidas digitaalseid kaksikuid saab finantsettevõtetes kasutada.

Countries
Estonia, Germany
Related Organizations
Keywords

330, finantssektor, cae uuring, 650, financial services, infotechnology, case study, finantsteenused, digitaalne kaksik, digital twin, informatics, magistritööd, infotehnoloogia, financial sector, informaatika

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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