Financial Institution Advantage and the Optimization of Information Processing by SEAN C. KEENAN

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Financial Institution Advantage and the Optimization of Information Processing

by SEAN C. KEENAN

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Financial Institution Advantage and the Optimization of Information Processing offers a key resource for understanding and implementing effective data governance practices and data modeling within financial organizations. Sean Keenan�a noted expert on the topic�outlines the strategic core competencies, includes best practices, and suggests a set of mechanisms for self-evaluation. He shows what it takes for an institution to evaluate its information processing capability and how to take the practical steps toward improving it. Keenan outlines the strategies and tools needed for financial institutions to take charge and make the much-needed decisions to ensure that their firm's information processing assets are effectively designed, deployed, and utilized to meet the strict regulatory guidelines. This important resource is filled with practical observations about how information assets can be actively and effectively managed to create competitive advantage and improved financial results. Financial Institution Advantage and the Optimization of Information Processing also includes a survey of case studies that highlight both the positive and less positive results that have stemmed from institutions either recognizing or failing to recognize the strategic importance of information processing capabilities. Introduction Acknowledgments Chapter 1 Financial Institutions as Information Processors Financial Institutions' Raison d'�tre Cultural Issues IT Literacy and the Spreadsheet Deluge Other Challenges to Establishing an IT-Savvy Culture Notes Chapter 2 Strategic Hardware and Software Management Overview An Integrated Data Architecture Information Processing Efficiency as an Institutional Objective A Digression on Unstructured Data Notes Chapter 3 Data, Models, and Information Model Risk Mania Definitions and Epistemology Data Quality Models and Their Role Regulatory Regimes and Guidance Notes Chapter 4 Model Risk Measurement Three Phases of Model Management Model Governance Defining Model Risk Objectifying the Downside Model Risk Attribution: An Information Entropy Approach Notes Chapter 5 The Return on Analytic Assets Measuring the Productivity of Models Complementarity of Data Inflow with Information Processing A Digression on Price Taking Notes Chapter 6 Data Risk Measurement Strategic Data Acquisition The Information Conversion Rate Other Approaches for Data Risk Assessment Notes Chapter 7 A Higher Level of Integration Alternate Views of Integration Identifying Key Information Cycles An Integrated Physical View Multidimensional Information Asset Management Chapter 8 A Strategy for Optimizing the Information Processing Complex Evaluation A Path toward Improvement Notes Chapter 9 Case Studies The Pricing of Automobile Insurance Moody's KMV The London Whale The Mortgage-Backed Securities Disaster The Value of Annuities Notes Chapter 10 Conclusions References About the Author IndexISBN - 9788126554805

Pages : 224

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