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The analysis of relationships between key performance indicators is one of the challenging tasks in modern business applications. On the one hand, a complex network of key performance indicators, based on sensor data and calculations, is obviously available in technical systems, but on the other hand, the final human decision is based on the information provided by visualization types like dashboards. But in most cases dashboards only cover static information and neglects temporal dependencies. In this paper, we present an approach for the integration of a temporal perspective into a graph-based visualization for the analysis of key performance indicators using multi-level graphs.

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