Mitigating systemic risks to the global financial system demands timely analysis of growing volumes of information from an expanding set of sources as the foundation for financial regulatory action and decision making. The timeframes within which regulators must take informed action are compressed.

Executing their shared regulatory responsibilities requires more effective information sharing and closer collaboration within the community of regulators. They must guard against burdening financial companies with unnecessary regulatory reporting requirements.

Combining traditional enterprise data management practices with emerging semantic approaches and technologies offers value to financial regulators (and other enterprises) as they strive to become more agile and effective in a dynamic business environment.

This session presents a financial regulatory case study that:

• Describes enterprise data management practices that are foundational to business agility
• Discusses emerging semantic approaches that can augment traditional approaches
• Presents a roadmap for integrating these approaches
• Presents a business case and value proposition for combining both in an integrated strategy.