Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures
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, a
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Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures Alfred Zimmermann, Rainer Schmidt, Kurt Sandkuhl, Eman El-Sheikh, Dierk Jugel, Christian Schweda, Michael Möhring, Matthias Wißotzki and Birger Lantow
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 models. A. Zimmermann (&) D. Jugel C. Schweda Reutlingen University, Reutlingen, Germany e-mail: [email protected] R. Schmidt Munich University, Munich, Germany K. Sandkuhl D. Jugel M. Wißotzki B. Lantow University of Rostock, Rostock, Germany E. El-Sheikh University of West Florida, Pensacola, FL, USA e-mail: [email protected] M. Möhring Munich University, Munich, Germany © Springer International Publishing Switzerland 2016 E. El-Sheikh et al. (eds.), Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures, Intelligent Systems Reference Library 111, DOI 10.1007/978-3-319-40564-3_6
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Introduction
Information, data and knowledge are fundamental concepts of our everyday activities. Social networks, smart portable devices, and intelligent cars, represent only a few instances of a pervasive, information-driven vision [1] for the next wave of the digital economy and better-aligned information systems. Digitization [2] encompasses the collaboration of human beings and autonomous objects beyond their local context using digital technologies. Digitization further increases the importance of information, data and knowledge as fundamental concepts of our everyday activities. By exchanging information human beings and intelligent objects are able to make decisions in a broader context and with highe
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