The concept of the central data warehouse is obviously outdated: too slow, too inflexible. Neither can a data lake alone meet diverse analytics needs. A modern data & analytics architecture must not only ensure agility in the lab, but also stability and automation in the process factory. Particularly business users must be able to work with it, since digital transformation is driven by domain expertise. This talk will give impulses for the design of future data & analytics architectures.