Machine learning can enhance corporate actions processing by automating pattern recognition in complex narratives, predicting outcomes for similar events and reducing manual intervention. This leads to faster, more accurate processing and better adaptation to new event types.
Streamline data sourcing, integration and mastering
Many institutions suffer inefficiencies from duplicate efforts, emphasising the need for centralized management to streamline their operations.
Managing corporate actions data effectively is essential for financial institutions to make informed decisions, mitigate risks and ensure compliance. While the challenges are significant, implementing best practices and a systematic approach can greatly improve the handling of this complex information.
Implement a systematic approach
Gresham can help prepare source data to determine the appropriate matching type for each corporate action. Apply matching logic based on the defined criteria and available data sources.
We aggregate and link data to combine data sets, create clear links between corporate actions, securities and legal entities. This allows for easier navigation and discovery of related information.
Managing evolving standards
Prevent issues by adopting the ISO 20022 standard, widely used in the industry, for both announcing corporate actions and managing related communications. Our solutions aggregate and transform data provided by custodians holding customer funds to help mitigate risks and integrate new standards.
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