<div class="csl-bib-body">
<div class="csl-entry">Resutikova, M. (2014). <i>A business data modeling methodology for the financial industry</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2014.23207</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2014.23207
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/5617
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dc.description.abstract
Data warehousing is successfully creating a layer between classical operational databases and reporting applications. In the financial industry, data warehousing architectures are crucial for creating market value and supporting business activities. Business data modeling, the initial phase of a DWH project, establishes a common language among stakeholders such as departments of a bank. However, we find that methodologies followed in the financial service industry today are insufficient in practice. In addition, these methodologies do not offer solutions for typical issues that occur during development of a data warehouse inside a bank. This leads us to the following research question: Can a structured methology for the early development phase of financial DWH projects help prevent failure of these projects? The answer to this question is presented as a business data modeling methodology that establishes a basis for consistent data and clear product scope definitions. Furthermore, it enhances top management prioritization and decreases interpretation ambiguities caused by insufficient specifications and thereby helps to close the Business-IT gap.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.title
A business data modeling methodology for the financial industry
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2014.23207
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Martina Resutikova
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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dc.contributor.assistant
Kiesling, Elmar
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tuw.publication.orgunit
E188 - Institut für Softwaretechnik und Interaktive Systeme