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Financial Institution Advantage and the Optimization of Information Processing

	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`Être
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