Maintaining high standards of data quality in large-scale, heterogeneous environments is still a critical challenge in the telecommunication industry. This chapter describes a coherent business process to ensure data quality, tailored to complex, multi-source telecom datasets. A central role in our approach is played by the deployment of the DATAMITE Horizon Europe project’s framework, which facilitates automated profiling and data quality validation based on user-defined business rules. Furthermore, the paper details how this framework is customized and adapted to meet the specific needs of a major telecom operator, highlighting its role in improving data reliability, regulatory compliance, and operational efficiency. The findings depict the importance of combining domain-specific knowledge with flexible, interoperable data quality frameworks to manage the intricacies of heterogeneous data landscapes.