With current day regulations requiring the implementation of robust control frameworks, it is critical for firms to have the necessary reporting processes in place and that they are being governed with robust control points.
Managing data is challenging, particularly when it’s being accessed across multiple systems and is being reported on or used to determine reporting obligations. To ensure accurate, complete, and timely reports, it’s important for firms to have a strong data quality component as part of their control frameworks.
Firms that fail to act on data validation today face the risk of imposed fines which could prove costly to fix in the future.
The key take-aways
What regulators expect from cohesive data quality controls
The common mistakes to avoid when implementing a control framework
How to identify the data that needs to be included in your validation processes
Managing the demands of a control framework for 3rd party or designated reporting
This webinar is in partnership with
SmartStream is a global software and managed services provider that in challenging markets conditions has outpaced its rivals in the financial markets sector, creating an impressive base of more than 1,500 customers. This includes more than 70 of the world’s top 100 banks alongside the world’s leading asset managers, custodians and broker dealers.
At the heart of this success is the ability to react to client, market and regulatory changes through innovative solutions. That is why, even in challenging market conditions, the company continues to invest more than 20% of revenue back into research and development.
The combination of SmartStream’s post-trade processing solutions, together with its unique Data Management Services, creates a real-time and pre-emptive approach to reducing trade failures while also accelerating and automating trade processes.