Providing EA decision support for stakeholders by automated analyses
Autor(en):
Zusammenfassung
Enterprise architecture management (EAM) is a holistic approach to tackle the complex Business and IT architecture. The transformation of an organization's EA towards a strategyoriented system is a continuous task. Many stakeholders have to elaborate on various parts of the EA to reach the best decisions to shape the EA towards an optimized support of the organizations' capabilities. Since the real world is too complex, analyzing techniques are needed to detect optimization potentials and to get all information needed about an issue. In practice visualizations are commonly used to analyze EAs. However these visualizations are mostly static and do not provide analyses. In this article we combine analyzing techniques from literature and interactive visualizations to support stakeholders in EA decision-making.
- Vollständige Referenz
- BibTeX
Jugel, D., Kehrer, S., Schweda, C. M. & Zimmermann, A.,
(2015).
Providing EA decision support for stakeholders by automated analyses.
In:
Zimmermann, A. & Rossmann, A.
(Hrsg.),
Digital Enterprise Computing (DEC 2015).
Bonn:
Gesellschaft für Informatik e.V..
(S. 151-162).
@inproceedings{mci/Jugel2015,
author = {Jugel, Dierk AND Kehrer, Stefan AND Schweda, Christian M. AND Zimmermann, Alfred},
title = {Providing EA decision support for stakeholders by automated analyses},
booktitle = {Digital Enterprise Computing (DEC 2015)},
year = {2015},
editor = {Zimmermann, Alfred AND Rossmann, Alexander} ,
pages = { 151-162 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Jugel, Dierk AND Kehrer, Stefan AND Schweda, Christian M. AND Zimmermann, Alfred},
title = {Providing EA decision support for stakeholders by automated analyses},
booktitle = {Digital Enterprise Computing (DEC 2015)},
year = {2015},
editor = {Zimmermann, Alfred AND Rossmann, Alexander} ,
pages = { 151-162 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
ISBN: 978-3-88579-638-1
ISSN: 1617-5468
Datum: 2015
Sprache:
(en)
(en)
Typ: Text/Conference Paper

