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Event- and Data-Centric Enterprise Risk-Adjusted Return Management: A Banking Practitioner's Handbook

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Management number 201819731 Release Date 2025/10/08 List Price $28.07 Model Number 201819731
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This book provides guidance on how to transform a bank's operating model into an agile enterprise model, focusing on enterprise risk-adjusted return management. It offers an event-driven, process-based, data-centric approach to help banks plan and implement an ERRM, with a focus on business events, processes, and a loosely coupled enterprise service architecture. It also provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy, as well as an enterprise knowledge management methodology for risk-return optimization.

Format: Paperback / softback
Length: 1090 pages
Publication date: 06 January 2022
Publisher: APress


This book offers a comprehensive approach to enterprise risk-adjusted return management in banking, advocating for a shift from a siloed operating model to an agile enterprise model. It provides a framework for banks to plan and implement an enterprise risk-adjusted return model (ERRM) that focuses on business events, processes, and a loosely coupled enterprise service architecture.

Lack of good quality data is a common challenge for banks in risk-adjusted return management. This book offers an enterprise data management methodology that enhances data quality by defining and utilizing data ontology and taxonomy. It extends the data narrative with an explanation of risk data characteristics, machine learning usage, and an enterprise knowledge management methodology for risk-return optimization.

The book provides numerous examples of process automation, data analytics, event management, knowledge management, and improvements to risk quantification. It also provides guidance

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 explores the current state of banking architecture and its limitations, while the second part guides

provides a step-by-step guide for implementing the enterprise risk-adjusted return model. It covers topics such knowledge areas such as identifying the root.

This book is a valuable resource for banks seeking to enhance their risk-adjusted return management practices and improve their overall performance. It provides a comprehensive and practical approach to implementing an enterprise risk-adjusted return model that aligns with industry best practices and regulatory requirements.

Weight: 2042g
Dimension: 179 x 259 x 62 (mm)
ISBN-13: 9781484274392
Edition number: 1st ed.


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