The generation of value from data is a key issue for many incumbent companies in our modern economy. While they are stuck in traditional business environments, they seek to develop and realize data-driven business models (DDBMs). Previous research aimed at analyzing and supporting the DDBM ideation process. In this study, we focus on developing an improved understanding of the process of realizing DDBMs and required capabilities and resources. It is grounded on interviews with 19 experts from multiple industries. By leveraging the resource-based (RBV) view as a theoretical lens, we analyzed 45 DDBM realization cases. We identified four execution periods, four capabilities, and 25 resources to characterize the process of DDBM realization. The results contribute to the field of DDBM research by theorizing the process of DDBM realization with a focus on challenges and enablers of resource utilization.