Navigating the Regulatory Landscape with Data Automation
The financial services industry is facing a variety of evolving regulations, from German tax e-filing and EU FASTER to the UK’s forthcoming shift to T+1 by the end of 2027, on the heels of North America’s T+1 transition in May of 2024. Embracing data automation is no longer optional, but essential to remain in compliance with upcoming regulatory requirements. Discover how financial services firms can implement data management solutions now to future-proof operations for forthcoming regulations.
In the News
Between the German e-filing regulations and EU FASTER initiative, digitizing tax processing is no longer a nice to have, it’s essential. Firms must have a clear understanding of current tax digitization efforts, upcoming regulations, and what they can do now to handle the transition. Tune in to our upcoming webinar December 5th at 10am EST/3pm GMT where Lead Solutions Manager Paul Duffy will be joined by KPMG UK ’s Operational Tax Partner, David Wren , to discuss what firms can do to prepare today.
Register here!
As the UK markets prepare for the shift from T+2 to T+1 settlement cycles, North America’s T+1 journey demonstrates firms need to embrace automation to navigate costly and time-consuming manual processes and operational inefficiencies. Our Solutions Manager, Capital Markets, Paul Chambers ’ recent article in Global Custodian explores why UK firms should look to streamlining post-trade operations and global alignment to meet T+1.
Read on to learn why firms must invest in automation to future-proof operations here.
Recommended by LinkedIn
In a recent webinar from A-Team Insight, from A-Team Group , our Head of Sales Engineering, NA, John Joseph (JJ) explored the challenges of structured and unstructured data within asset management. Delving into the common roadblocks of regulatory reporting and operational efficiency, JJ shared details on the data management solutions available, and how firms can implement new technologies today.
Didn’t tune in? Catch up on demand here!
A recent WBR Insights US survey found 62% of respondents in financial services organizations see rapid data growth as the biggest challenge in data management. For firms struggling with the ever-increasing volumes of data, AI and augmented data quality (ADQ) can serve as valuable tools to transform data management. Our recent blog breaks down the importance of a data management quality strategy, and how ADQ solutions enhance data accuracy, improve risk management, and ensure compliance.
Read on to learn more here.
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