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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El-Sheikh, E., Zimmermann, A., & Jain, L. C. (2016). Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures. Intelligent Systems Reference Library (Vol. 111, pp. 201–218). Retrieved from http://link.springer.com/10.1007/978-3-319-40564-3
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