Reference models usually serve as starting points for developing company specific models. Unfortunately, successful usage of reference models is often impeded by various aspects, such as a lack of acceptance among employees, incorrect model implementation, or high project costs - all of which more often than not are resulting from an imbalance between the model's complexity and the complexity of a company's specific structures. The paper at hand develops a methodical approach for taking a given reference model (the Maturity Model for Corporate Data Quality Management) and transforming it into a company specific model, with a particular focus on the specific complexity of a company's structures. Corporate Data Quality Management describes the quality oriented organization and control of a company's key data assets such as material, customer, and vendor data. Two case studies show how the method has been successfully implemented in real-world scenarios.