Globex Enterprises, a multinational conglomerate with subsidiaries operating across North America, Europe, and Asia, is embarking on a major digital transformation initiative. Each subsidiary has historically operated with significant autonomy, resulting in disparate data management practices and varying levels of data quality. As part of the transformation, Globex aims to establish a unified data quality governance framework that ensures consistent, reliable, and compliant data across the entire organization. However, the Chief Data Officer (CDO) recognizes the need to balance centralized control with the autonomy of individual subsidiaries, considering the diverse regulatory landscapes (e.g., GDPR in Europe, CCPA in California) and varying business priorities in each region. The CDO is tasked with proposing a data quality governance model that addresses these challenges effectively. The model must ensure adherence to global standards while allowing for regional adaptation. Considering the complexities of Globex\'s organizational structure and the need for both consistency and flexibility, which of the following data quality governance models would be most appropriate for Globex Enterprises?