Innovision Tech, a multinational corporation, has implemented a comprehensive data governance framework that includes well-defined data quality metrics and sophisticated data quality dashboards. Despite these efforts, persistent data quality issues continue to plague various departments, leading to flawed business intelligence reports and operational inefficiencies. The Data Governance Council, composed of senior executives from different business units, meets regularly to review data quality reports but struggles to translate these reports into tangible improvements. Data inconsistencies across different systems, incomplete customer profiles, and inaccurate product information remain pervasive problems. A recent internal audit revealed that while data quality policies exist, they are not consistently enforced, and there is a lack of clarity regarding who is responsible for addressing specific data quality issues within each department. Which of the following actions would be most effective in addressing the root cause of Innovision Tech\'s persistent data quality challenges?