What are the main challenges of legacy data, for instance in commercial operations, and how to overcome them?
How to ensure the quality and relevance of legacy data while integrating it with modern AI-driven trade systems?
What role does data governance play in maintaining data quality over time, especially when dealing with legacy systems?
How can organizations balance the need to preserve valuable legacy data with the demands of business operations, such as high-quality or real-time data?
What best practices from other industries can be applied to sustain data quality in the context of legacy systems?