Event- and Data-Centric Enterprise Risk-Adjusted Return Management

Take a holistic view of enterprise risk-adjusted return management in banking. This book recommends that a bank transform its siloed operating model into an agile enterprise model. It offers an event-driven, process-based, data-centric approach to help banks plan and implement an enterprise risk-adjusted return model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture.

The book provides guidance on the underlying knowledge areas of banking, enterprise risk management, enterprise architecture, technology, event management, processes, and data science. The first part of the book explains the current state of banking architecture and its limitations. After defining a target model, it explains an approach to determine the "gap" and the second part of the book guides banks on how to implement the enterprise risk-adjusted return model.

What You Will Learn

• Know what causes siloed architecture, and its impact
• Implement an enterprise risk-adjusted return model (ERRM)
• Choose enterprise architecture and technology
• Define a reference enterprise architecture
• Understand enterprise data management methodology
• Define and use an enterprise data ontology and taxonomy
• Create a multi-dimensional enterprise risk data model
• Understand the relevance of event-driven architecture from business generation and risk management perspectives
• Implement advanced analytics and knowledge management capabilities

Who This Book Is For