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With the digital transformation being one of the most discussed topics in the business world today, many enterprises – especially small and medium sized ones – find themselves struggling with the understanding of new digital technologies and thus the potential benefits and risks for their companies. New technologies like the Internet of Things, Blockchain or Machine Learning have great potential for businesses. However, carefully evaluating and selecting purposeful technologies – aligned to the digital strategy – is the key to success. Technologies appear, change and also vanish so rapidly in the digital age, that a proper understanding is crucial for a sustainable technological foundation. Focusing on the characteristic features of technologies, the presented approach promises to create a better technological understanding for decision makers in small and medium-sized enterprises (SMEs) in a playful manner: With a serious game that fosters insight and allays fears of digitalization.
The increasing number of connected mobile devices such as fitness trackers and smartphones define new data for health insurances, enabling them to gain deeper insights into the health of their customers. These additional data sources plus the trend towards an interconnected health community, including doctors, hospitals and insurers, lead to challenges regarding data filtering, organization and dissemination. First, we analyze what kind of information is relevant for a digital health insurance. Second, functional and non-functional requirements for storing and managing health data in an interconnected environment are defined. Third, we propose a data architecture for a digitized health insurance, consisting of a data model and an application architecture.