This process involves the planning, evaluation, and integration of new data sources into a enterprise MDM solution through a reliable and repeatable approach. This process includes responding to acquisition requests, performing data quality assessments, evaluating the complexity of data integration, piloting the impact of new data on match rules, defining data quality metrics, and assigning responsibility for ongoing monitoring of data quality. Additionally, it ensures the seamless integration of new data sources into the data management environment, ensuring alignment with organizational data quality standards, data architecture, and compliance requirements. The process ensures that new data sources support the organization’s goals and maintain high data quality and consistency across different data domains and data sources.