Complex tasks, such as the analysis of security-critical events, call for interdisciplinary cooperation. But the coordination of multiple, geographically dispersed contributors can often be time-consuming and challenging. The many status meetings this requires can be made more efficient by means of visual analytics. Our prototype illustrates how collaborative scenarios of this kind could be streamlined in the future.
In particular, we show how
- the flexible design of data processing can be harnessed to enable explorative data analytics,
- it is possible to implement an iterative process, beginning with a rough sketch and culminating in a working data management process,
- it is possible to support coordination between multiple participants on the basis of real-time collaboration for the purposes of data analytics.