Integrating DQLabs with IBM Db2 for i brings advanced data quality and observability to IBM i environments, ensuring that business-critical applications operate with trusted data. DQLabs continuously monitors Db2 for i tables, detecting anomalies in transactional records, customer data, and financial entries to prevent inconsistencies from impacting downstream processes. With automated data profiling, organizations can assess data completeness and accuracy across files, journals, and physical/ logical tables in Db2 for i. DQLabs enforces business rules to validate data integrity for high-volume transactional records in IBM Db2 for i, flagging discrepancies before they impact downstream processes and analytics. Additionally, lineage tracking provides full visibility into data movement and transformations across IBM i workflows, supporting compliance with regulatory standards. By embedding real-time data quality checks into Db2 for i environments, organizations can enhance operational efficiency, reduce errors in reporting, and ensure reliable data for analytics and decision-making.