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Titlebook: Event- and Data-Centric Enterprise Risk-Adjusted Return Management; A Banking Practition Kannan Subramanian R,Dr. Sudheesh Kumar Kattumanni

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楼主: GALL
发表于 2025-3-26 22:30:10 | 显示全部楼层
Enterprise Architecture,to the environment and the principles guiding its design and evolution.” Using this definition, it can be stated that an architecture is a concept that is based on the .. As risk and returns are intertwined, this book submits that . and risk management system(s).
发表于 2025-3-27 03:16:09 | 显示全部楼层
,Data Science and Enterprise Risk–Return Management,ted returns. Bank management staff have to use their human capital to build and manage their enterprise knowledge management. Banks should consider the information technology team data providers. Data scientists play an important role in providing and improving risk-adjusted return methods, models, and techniques.
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ovements 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 978-1-4842-7439-2978-1-4842-7440-8
发表于 2025-3-28 01:35:46 | 显示全部楼层
Commercial Banks, Banking Systems, and Basel Recommendations,s are exposed to market, credit, liquidity, and operational risks. These risks should be proactively managed in a holistic manner with a focus on risk appetite and risk-adjusted returns. Members of banks’ upper management need an enterprise view of the risks so as to improve capital allocation decis
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ERRM Gap Analysis & Identification,iness activity, and a bank’s primary objectives are growth and profits. Basel’s BCBS 239 guidance on risk data aggregation can be effective only when a bank has an enterprise data model and governance. Many of the banks that have implemented or are implementing risk aggregation projects have not rec
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ERR Model Implementation Methodology, and technology to build its ERRM capabilities. . The bank needs to know its requirements, evaluate the vendor’s solution, and work with the vendor to make the ERR model implementation successful. Banks cannot live with limitations imposed by legacy issues or by their vendor solutions.
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