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Enterprise Architecture Analytics and Decision Support

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Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 111))

Abstract

The discipline of Enterprise Architecture Management started using a model-driven approach. In contrary to the model-driven approaches, our approach follows strives to tap also the information contained in the operational systems that support IT-Service-Management. Therefore, this paper aims at indicating the increased capabilities of Enterprise Architecture Analytics and Decision Support through the use of a data-driven approach. It will give fundamental insights in the current research work of enterprise architecture management analytics as well as decision support based on this quantitative data.

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Authors and Affiliations

  1. Munich University of Applied Sciences, Lothstrasse 64, 80335, Munich, Germany

    Rainer Schmidt & Michael Möhring

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  1. Rainer Schmidt
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  2. Michael Möhring
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Correspondence to Rainer Schmidt .

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Editors and Affiliations

  1. College of Science, Engineering and Health, University of West Florida, Pensacola, Florida, USA

    Eman El-Sheikh

  2. Faculty of Informatics, Reutlingen University, Reutlingen, Baden-Württemberg, Germany

    Alfred Zimmermann

  3. Bournemouth University Poole UK, KES International, Leeds, UK University of Canberra, Canberra ACT Aus, Canberra, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Schmidt, R., Möhring, M. (2016). Enterprise Architecture Analytics and Decision Support. In: El-Sheikh, E., Zimmermann, A., Jain, L. (eds) Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures. Intelligent Systems Reference Library, vol 111. Springer, Cham. https://doi.org/10.1007/978-3-319-40564-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-40564-3_11

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  • Online ISBN: 978-3-319-40564-3

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