Event- and Data-Centric Enterprise Risk-Adjusted Retu Management:A Banking Practitioner’s Handbook

by: Kannan Subramanian R (Author),Dr. Sudheesh Kumar Kattumannil(Author)

Publisher: Apress

Edition: 1st ed.

Publication Date: 2022/1/6

Language: English

Print Length: 1118 pages

ISBN-10: 1484274393

ISBN-13: 9781484274392

Book Description

Take a holistic view of enterprise risk-adjusted retu 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 retu model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture. Most banks suffer from a lack of good quality data for risk-adjusted retu management. This book provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy. It extends the data narrative with an explanation of the characteristics of risk data, the usage of machine leaing, and provides an enterprise knowledge management methodology for risk-retu optimization. The book provides numerous examples for process automation, data analytics, event management, knowledge management, and improvements to risk quantification.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 retu model.What You Will LeaKnow what causes siloed architecture, and its impactImplement an enterprise risk-adjusted retu model (ERRM)Choose enterprise architecture and technologyDefine a reference enterprise architectureUnderstand enterprise data management methodologyDefine and use an enterprise data ontology and taxonomyCreate a multi-dimensional enterprise risk data modelUnderstand the relevance of event-driven architecture from business generation and risk management perspectivesImplement advanced analytics and knowledge management capabilitiesWho This Book Is For The global banking community, including:senior management of a bank, such as the Chief Risk Officer, Head of Treasury/Corporate Banking/Retail Banking, Chief Data Officer, and Chief Technology Officer. It is also relevant for banking software vendors, banking consultants, auditors, risk management consultants, banking supervisors, and govement finance professionals.

About the Author

Take a holistic view of enterprise risk-adjusted retu 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 retu model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture. Most banks suffer from a lack of good quality data for risk-adjusted retu management. This book provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy. It extends the data narrative with an explanation of the characteristics of risk data, the usage of machine leaing, and provides an enterprise knowledge management methodology for risk-retu optimization. The book provides numerous examples for process automation, data analytics, event management, knowledge management, and improvements to risk quantification.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 retu model.What You Will LeaKnow what causes siloed architecture, and its impactImplement an enterprise risk-adjusted retu model (ERRM)Choose enterprise architecture and technologyDefine a reference enterprise architectureUnderstand enterprise data management methodologyDefine and use an enterprise data ontology and taxonomyCreate a multi-dimensional enterprise risk data modelUnderstand the relevance of event-driven architecture from business generation and risk management perspectivesImplement advanced analytics and knowledge management capabilitiesWho This Book Is For The global banking community, including:senior management of a bank, such as the Chief Risk Officer, Head of Treasury/Corporate Banking/Retail Banking, Chief Data Officer, and Chief Technology Officer. It is also relevant for banking software vendors, banking consultants, auditors, risk management consultants, banking supervisors, and govement finance professionals.

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