Katja Tiefenbacher

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This paper investigates the constituents of Big Data and their contribution to its success. The starting point is the mainstream understanding of Big Data, which defines the volume, variety and velocity (3V) of the underlying data as main properties of the Big Data phenomenon. This definition is challenged through the presented analysis of more than 100(More)
The paper positions Big Data as a challenge of information integration into existing analytical infrastructures. The presented arguments have been derived by means of a case study. The case is selected from the domain of insurance industry that intends to leverage the potential of Big Data for the purpose of increased customer orientation. Particularly the(More)
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