StellarTech, a multinational conglomerate, recently launched a new integrated enterprise system encompassing supply chain management, customer relationship management, and financial accounting. Shortly after deployment, significant discrepancies emerged across various departments. For instance, customer addresses in the CRM system often differed from those in the shipping database, leading to delivery failures. Financial reports showed inconsistencies in revenue figures compared to sales data, impacting investor confidence. An internal audit revealed that data entry protocols varied widely across different geographic locations and departments, with no standardized validation rules. Furthermore, data profiling revealed a high percentage of incomplete customer records, especially for international clients. The system lacked automated data quality monitoring, and the data governance team, established only after the system launch, struggled to identify the root causes and implement corrective measures effectively. The Chief Information Officer (CIO) is under immense pressure to rectify the situation and prevent future occurrences.\n\nWhich fundamental deficiency in StellarTech\'s approach to data management most likely contributed to the widespread data quality issues observed after the system launch?