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Tool Capability in Visual EAM Analytics
Author(s) -
Dierk Jugel,
Christian M. Schweda,
Alfréd Zimmermann,
Sandra Läufer
Publication year - 2015
Publication title -
complex systems informatics and modeling quarterly
Language(s) - English
Resource type - Journals
ISSN - 2255-9922
DOI - 10.7250/csimq.2015-2.04
Subject(s) - computer science , multitude , architecture , analytics , task (project management) , visual analytics , field (mathematics) , process (computing) , human–computer interaction , visualization , data science , enterprise architecture , software architecture , software , knowledge management , process management , artificial intelligence , engineering , systems engineering , art , philosophy , mathematics , epistemology , pure mathematics , visual arts , programming language , operating system
Enterprise Architectures (EA) consist of a multitude of architecture elements, which relate in manifold ways to each other. As the change of a single element hence impacts various other elements, mechanisms for architecture analysis are important to stakeholders. The high number of relationships aggravates architecture analysis and makes it a complex yet important task. In practice EAs are often analyzed using visualizations. This article contributes to the field of visual analytics in enterprise architecture management (EAM) by reviewing how state-of-the-art software platforms in EAM support stakeholders with respect to providing and visualizing the “right” information for decision-making tasks. We investigate the collaborative decision-making process in an experiment with master students using professional EAM tools by developing a research study. We evaluate the students’ findings by comparing them with the experience of an enterprise architect

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