Raja Chattopadhyay: "Optimizing External Data Souce Orchestration For Better Decision Making"
This presentation highlights the critical role of external data in financial decision-making, focusing on identity verification, fraud prevention, and risk management. It explores the challenges of orchestrating external data, such as data velocity, reliability, scalability, and security.
Efficient strategies discussed include parallel processing, caching, automated exception handling, dynamic scaling, and data standardization. A case study illustrates a scalable architecture that separates the orchestration and data processing layers, ensuring improved performance and compliance.
By implementing these best practices, financial institutions can enhance decision-making, streamline operations, and maintain a competitive advantage in managing external data sources.
Key Point:
External data is crucial for identity verification, fraud prevention, and risk management in financial decision-making. However, orchestrating external data presents challenges such as data velocity, quality, fault tolerance, scalability, security, and operational monitoring.
To address these, efficient orchestration strategies include parallel processing, caching, automated exception handling, dynamic scaling, and data standardization. A case study highlights the benefits of separating orchestration and processing layers for improved scalability, compliance, and efficiency.
Key takeaways emphasize the importance of a robust data orchestration strategy to enhance decision-making, ensure compliance, and mitigate risks in real-time financial environments.
To address these, efficient orchestration strategies include parallel processing, caching, automated exception handling, dynamic scaling, and data standardization. A case study highlights the benefits of separating orchestration and processing layers for improved scalability, compliance, and efficiency.
Key takeaways emphasize the importance of a robust data orchestration strategy to enhance decision-making, ensure compliance, and mitigate risks in real-time financial environments.
Biography:
Raja Chattopadhyay is a FinTech leader with 20+ years of experience in data management, API development, cloud computing, and analytics. As a Senior Manager at Capital One, he specializes in external data orchestration, payment systems, and risk management, driving innovations in identity verification and fraud prevention.
He has filed multiple patents, contributes to research and skill development, and is an active blogger and speaker on emerging technologies. Raja continues to develop scalable, high-performance solutions that enhance financial services and customer experiences.