Zimmermann, Alfred and Schmidt, Rainer and Sandkuhl, Kurt and El-Sheikh, Eman and Jugel, Dierk and Schweda, Christian M. and Möhring, Michael and Lantow, Birger (2016) Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures. In: Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures. UNSPECIFIED, pp. 91-112.
Full text not available from this repository.Abstract
The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. The digitization of software-intensive products and services is enabled basically by four megatrends: Cloud Computing, Big Data Mobile Systems, and Social Technologies. This disruptive change interacts with all information processes and systems that are important business enablers for the current digital transformation. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. Modern enterprises see themselves confronted with an ever growing design space to engineer business models of the future as well as their IT support, respectively. The decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures (EA), is duly needed. With the advent of intelligent user-centered and social community systems, the challenging decision processes can be supported in more flexible and intuitive ways. Tapping into these systems and techniques, the engineers and managers of the enterprise architecture become part of a viable enterprise, i.e. a resilient and continuously evolving system that develops innovative business
| Item Type: | Book Section |
|---|---|
| Subjects: | A General Works |
| Depositing User: | Users 0 not found. |
| Date Deposited: | 26 Sep 2017 08:45 |
| Last Modified: | 16 Nov 2018 09:58 |
| URI: | http://eprints.win.informatik.uni-rostock.de/id/eprint/21 |
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