Designing Financial Data Architectures: Patterns and Principles for Ai, Analytics, and Operational Efficiency (Paperback) (ISBN-13: 9798341627178)

The financial industry runs on a vast and complex data ecosystem--one that presents unique challenges and requirements for financial market players. To make sense of this complexity, financial institutions must design data architectures that do more than just move data--they must support real business needs, account for the unique nature of financial data, and meet the industry's high standards for compliance, performance, and resilience.

Designing Financial Data Architectures provides a comprehensive guide to building data frameworks tailored to the requirements of modern financial systems. Whether supporting trading and payments, powering an investment platform, enabling AI-powered analytics, or meeting ever-evolving compliance demands, this book equips professionals with the principles and design patterns to structure, manage, and optimize financial data systems.

• Understand the financial data landscape and its data management challenges
• Learn about financial data modelling, semantics, ontologies, and entity relationship diagrams
• Implement governance frameworks for data security, quality, and compliance
• Design data architectures tailored to the needs of financial markets
• Master the principles of operational and analytical data architecture for financial systems
• Leverage AI-driven methodologies to enhance data-driven decision-making