Visualization aims at building a bridge between users and their data --
the task categories of data exploration, visual analysis, and the
presentation of findings are supported. Especially in the context of
data exploration and analysis, interaction plays a crucial role in
visualization. In this talk, we have a look at the multi-layered concept
of interactive visual data analysis with a special focus on the integration
of data derivation in the analysis process. We assess the usefulness of
this concept we look at selected examples, e.g., from the field of
meteorology / climate research.