With STP and increased regulatory scrutiny, risk liability and customer relationship concerns, it is no longer enough to simply check data against two sources.
By Richard Ordowich, senior partner at STS Associates Inc.
Data quality remains one of the most costly concerns in the industry. Data errors result in missed trading opportunities, errors in clearance and settlement and mistakes in post-trade processing. They consume significant staff time and put firms at increased risk.
Jesse Lund talks about real uses for DLT in the capital markets, lessons learned while rolling out IBM's blockchain platform, and what’s ahead for 2018, and into 2019.Subscribe to Weekly Wrap emails