BNY Mellon

Post-financial crisis regulations placed unprecedented demands of financial services data and reporting. With new global data accounting measures, BNY Mellon was required to facilitate firm-wide risk management and respond to regulations like SR-14 and BCBS 239. However, risk management requires integration, and the data connections in the front, middle, and back offices were inadequate to meet the new reporting requirements. Further, different agencies required different definitions of the same concept that were also different than the data definitions that BNY used internally.

To increase their data flexibility, the Data & Infrastructure team connected all data assets into a single environment that provides a full view of all data sources and integrates seamlessly with the long standing legacy data structures. A shared data model promotes integration but also supports multiple views by allowing users to create their own definitions to meet reporting needs. This nuanced structured satisfied regulator reporting mandates at an enterprise scale. The semantic model facilitates rollups and drill downs across the entire bank, giving the team the ability to adapt to any new data requirements without fundamentally changing the architecture.

We can provide a holistic view of a customer and manage risk across multiple silos — we used to have an army of Excel ninjas to do this stuff. Even in regulatory programs, we can be an authoritative source of data.”

- Senior Director & Architecture Fellow

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