LEADER 04886nam 2200517 450 001 9910522972903321 005 20220907120859.0 010 $a1-4842-7440-7 024 7 $a10.1007/978-1-4842-7440-8 035 $a(MiAaPQ)EBC6840234 035 $a(Au-PeEL)EBL6840234 035 $a(CKB)20443410200041 035 $a(OCoLC)1291316034 035 $a(OCoLC-P)1291316034 035 $a(CaSebORM)9781484274408 035 $a(EXLCZ)9920443410200041 100 $a20220907d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvent- and data-centric enterprise risk-adjusted return management $ea banking practitioner's handbook /$fKannan Subramanian R, Sudheesh Kumar Kattumannil 210 1$a[Place of publication not identified] :$cApress,$d[2022] 210 4$dİ2022 215 $a1 online resource (1112 pages) 311 08$aPrint version: Subramanian R, Kannan Event- and Data-Centric Enterprise Risk-Adjusted Return Management Berkeley, CA : Apress L. P.,c2022 9781484274392 320 $aIncludes bibliographical references and index. 327 $aChapter 1: Commercial Banks, Banking Systems, and Basel Recommendations -- Chapter 2: Siloed Risk Management Systems -- Chapter 3: Enterprise Risk Adjusted Return Model (ERRM), Gap Analysis, and Identification -- Chapter 4: ERRM Methodology, High-level Implementation Plan -- Chapter 5: Enterprise Architecture -- Chapter 6: Enterprise Data Management -- Chapter 7: Enterprise Risk Data Management -- Chapter 8: Data Science and Enterprise Risk Return Management -- Chapter 9: Advanced Analytics and Knowledge Management -- Chapter 10: ERRM Capabilities and Improvements -- Appendix A: Abbreviations -- Appendix B. List of Processes. 330 $aTake 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. Most banks suffer from a lack of good quality data for risk-adjusted return 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 learning, and provides an enterprise knowledge management methodology for risk-return 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 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 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 government finance professionals 606 $aFinancial risk management 606 $aFinancial risk management$xData processing 606 $aBanks and banking 615 0$aFinancial risk management. 615 0$aFinancial risk management$xData processing. 615 0$aBanks and banking. 676 $a332.1 700 $aSubramanian R$b Kannan$01081533 702 $aKattumannil$b Sudheesh Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522972903321 996 $aEvent- and Data-Centric Enterprise Risk-Adjusted Return Management$92595303 997 $aUNINA