Philips Healthcare produces various types of medical imaging systems, such as X-ray, Computed Tomography (CT) and Magnetic Resonance (MR) Imaging. A high reliability and availability of these devices is of utmost importance. For the latter, it is important that the root cause of a failure can be identified quickly. Philips has already been working on researching large data analytics methods as finding failure patterns and predictive models such that the root cause of a failure can be identified faster and future failures might be predicted and prevented. An area that has not been extensively researched yet is visual data exploration. We therefore explore the possibility of using interactive data visualization for the analysis of event logs for serviceability purposes. The designed and implemented prototype can be used for analyzing the utilization, behavior and errors of individual systems. The system uses easy to understand visualization methods for showing multiple overviews of the data and the user is enabled to request details on demand by interacting with the prototype.

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