GlobalTech Solutions, a multinational corporation with offices in North America, Europe, and Asia, has recently implemented a comprehensive data governance policy. However, during a routine audit, significant inconsistencies in data quality were discovered across different departments and geographical locations. The marketing department in North America prioritizes real-time data for targeted advertising campaigns, often overlooking data completeness. The finance department in Europe adheres strictly to regulatory compliance, emphasizing data accuracy and completeness but sometimes neglecting data timeliness. The operations department in Asia struggles with data consistency due to legacy systems and a lack of standardized data definitions. A root cause analysis reveals that while GlobalTech has a well-defined data quality strategy at the corporate level, its implementation varies significantly across departments and regions. Senior management is now concerned that these inconsistencies are undermining the overall effectiveness of the data governance policy and leading to inaccurate business insights.\n\nWhich of the following represents the most critical underlying issue contributing to GlobalTech\'s data quality problems, despite the existence of a comprehensive data governance policy?