Online analytical processing (OLAP) as a modern business intelligence (BI) concept provides support for representing vast amounts of data for supporting management‟s decisions. Though, there is no inherent support for the representation of causal structures which could provide a foundation for advanced analysis like what-if or scenario techniques. System Dynamics (SD) is an approach with a long tradition used for modelling and simulation of complex systems, which could provide a causal complement for OLAP. This paper aims at integrating OLAP and SD on a linguistic level. Therefore linguistic metamodels of the corresponding conceptual modelling languages are derived and related towards each other, creating a translational relationship between the languages.