SS&C Deliver panel highlights data quality as key to post-trade automation
SSNC•At an SS&C Deliver panel, 57% of respondents prioritized data quality and governance for technology investment, while 5% prioritized AI and analytics. Data quality was the top obstacle to zero-defect operations, and 63% saw reconciliation and controls as the area with the greatest potential benefit from AI.
1. Panel findings
SS&C Technologies hosted a panel at SS&C Deliver focused on data quality as the foundation for post-trade automation. In audience polls, 57% prioritized data quality and governance for technology investment, compared with 5% for AI and analytics; 39% named data quality as the biggest obstacle to zero-defect operations, ahead of legacy platforms at 30%.
2. Automation challenges
Reconciliation and controls offered the greatest potential benefit from AI for 63% of respondents. Automated processes still generated many exceptions at 58% of respondents’ firms, and none reported approaching self-resolving operations.
