This session confronts the data quality crisis plaguing finance organisations, exploring root causes of data inconsistency and revealing practical strategies to establish robust data governance, automate validation, create single sources of truth, and build stakeholder confidence in financial
information.
Key Takeaways:
• The hidden cost of poor data quality: quantifying time wasted, decisions delayed, and credibility lost due to data inconsistency
• Data governance frameworks that establish ownership, standards, and accountability across source systems and business units
• Technology solutions for automated validation, exception management, and continuous data quality monitoring in finance processes