Efficient adaptation to new situations of a company’s business and its business processes plays an important role for achieving advantages in competition to other companies. For an optimization of business processes, a profound analysis of all relevant business data in the company is necessary. Analyses typically specialize either on process analysis or on data warehousing of operational business data. However, to achieve a significantly more detailed analysis in order to fully optimize a company’s business, a consolidation of all major business data sources is indispensable.

This paper introduces an approach that allows consolidating process variables and operational data models in a semi-automatic manner. In order to do this, a semantic annotation is applied. In this paper, we focus on an ontology-based annotation of the operational data in data warehouses, show how it is realized in a tool and discuss its general usability in other areas.