Overview
In this webinar, we explored how the Financial Data Transparency Act's (FDTA) mandates for machine-readable, non-proprietary, searchable data can serve as the catalyst to bring SBR-style efficiencies to U.S. financial regulatory reporting—enabling better data quality, reduced burden, and more meaningful outcome-oriented oversight.
Key topics will include:
- The origin, scope and implementation timeline of the FDTA, including how the nine covered federal regulators through the Financial Stability Oversight Council are being tasked with developing joint data standards and common identifiers.
- The case for SBR as a model for streamlined regulatory reporting—drawing on international and U.S. frameworks, and how the FDTA presents the U.S. an opportunity to leap forward rather than gradually retrofit old paper and PDF-based systems.
- Practical implications for regulated entities and regulators: what must be done to build a reusable, standards-based data architecture; how to drive efficiencies, reduce error rates, improve transparency and enable new analytics and AI/RegTech use cases.
- Strategic imperatives for senior leaders and practitioners by aligning governance, taxonomy design, change-management and technology platforms so they are “implementation-ready” once the FDTA’s rulemaking and standards are finalized.
This session is of particular interest to C-suite executives, data and compliance leaders, regulators, and technology/analytics professionals who are positioning their organizations for the next wave of reporting modernization.
Speakers:
- Craig Clay, President, Global Capital Markets, Donnelley Financial Solutions (DFIN)
- Mark Dangelo, Co-Founder, DMInk Data Strategy
- Bridget Hughes, Senior Director, Corporate Governance Services, Donnelley Financial Solutions (DFIN)
- Nick Hart, President and Chief Executive Officer, Data Foundation
