Abstract
Smart Services can be described as a specific manifestation of Product-Service Systems, which mainly refer to customer individual solutions based on the utilization of data derived from cyber-physical products and production systems. In this context the usage data is allocated and analyzed on a platform in order to extract valuable information, thus enabling the development and operationalization of new data-driven business models. In order to support the initial design of Smart Services companies have to achieve a thorough understanding of their existing or obtainable data as well as the related potential options to utilize these data. Based on the analysis of 51 industrial Smart Service use cases data flows and areas of application have been derived and clustered. Moreover, the defined categories are interlinked and mapped to the use cases. The findings have been comprised into an applicable Smart Service design method addressing early design stages. Finally, the approach (DAU flow method) has been applied and evaluated with two case companies, indicating sound qualitative results and providing valuable feedback.
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