Descripciones mejoradas de Syndetics:

This new book helps professionals in the financial sector implement risk management processes, shows organizations how to enable data driven decision making, and provides an introduction to quality control methods such as Six Sigma and Total Quality Management (TQM). Examples and real-world case studies are included throughout.

Dr. Anthony Tarantino (San Jose, CA) is currently with IBM′s Governance, Risk, and Compliance Center of Competence. Dr. Deborah Cernauskas (Downers Grove, IL) is a risk management consultant for IBM.

Tabla de contenidos provista por Syndetics

• Preface
• Acknowledgments
• Chapter 1 Introduction
• Organization of This Book
• Why Read This Book?
• Note
• Chapter 2 Data Governance in Financial Risk Management
• Introduction
• Governance Center of Excellence
• Data Governance Assessment
• Data Governance Maturity Model
• Best Practices in Data Governance
• Conclusion: Next Generation Techniques to Reduce Data Governance Risk
• Notes
• Chapter 3 Information Risk and Data Quality Management
• Introduction
• Organizational Risk, Business Impacts, and Data Quality
• Examples
• Data Quality Expectations
• Mapping Business Policies to Data Rules
• Data Quality Inspection, Control, and Oversight: Operational Data Governance
• Managing Information Risk via a Data Quality Scorecard
• Summary
• Notes
• Chapter 4 Total Quality Management Using Lean Six Sigma
• Introduction
• Performance Targets
• Process for Excellence
• Process Improvement
• Summary
• Chapter 5 Reducing Risk to Financial Operations through information technology and Infrastructure Risk Management
• Introduction
• The Problem
• Risk Source and Root Cause
• Risk Management
• Closing Comments
• Global IT Standards Matrix
• Links to IT Risk Associations and Agencies
• Chapter 6 An Operational Risk Management Framework for All Organizations
• Introduction
• Definition and Categorization of Operational Risk
• How Auditors and Regulators Approach Risk Management
• How Rating Agencies Evaluate Operational Risk
• An Operational Risk Framework for All Organizations
• Conclusion
• Chapter 7 Financial Risk Management in Asia
• Introduction
• Risks in Asian Supply Chains
• Risks in Asian Financial Markets
• Conclusion
• Notes
• Chapter 8 Doing Business in Latin America: Lessons Learned and Best Practices for the Protection of Foreign Investors
• Introduction
• The World Bank Indicators
• Protection of Debt Investors
• Protection of Minority Owners
• Conclusion
• Chapter 9 Mitigating Risk Exposure in Transitioning to the IFRS
• Introduction
• Revenue Recognition Risks (IAS 18)
• Derivatives (IAS 39) and Hedging Risks
• Share-Based Compensation and Pension Risks
• Non-Financial Asset Risks
• Off Balance Sheet Risks (Financial Assets)
• Tax Liability Risks
• Other Liability Risks
• Financial Liabilities and Equity Risks
• Business Combination Risks (Mergers and Acquisitions)
• Financial Services Industry Risks
• Conclusion - Suggestions to Reduce the Conversion Risks
• Notes
• Chapter 10 Quantitative Operational Risk Management Methods
• Introduction
• Operational Risk Overview
• Quantitative Methods
• Modeling Approach Operational Risk
• Operational Value at Risk
• Multi-Factor Causal Models
• Regime Switching Models
• Discriminant Analysis
• Bayesian Networks
• Process Approach to Operational Risk
• Business Process Modeling and Simulation
• Precursor Analysis in Operational Risk Management
• Agent-Based Modeling
• Six Sigma Approach to Quality & Process Control: Failure Modes and Ef

Notas de autor provistas por Syndetics

Dr. Anthony Tarantino is an adjunct professor, Leavey School of Business, Santa Clara University; Board Director for the Center for Business Innovation in Finance and Investment, Santa Clara University; and former senior adviser to IBM′s Governance, Risk, and Compliance Center of Excellence. Dr. Tarantino has nearly thirty years of experience in risk management, regulatory compliance, and business transformation on both the consulting and business side. He became a Six Sigma Black Belt in 2006 and a Certified SOX Pro in 2008. He has written articles for Journal of Operational Risk , the Institute of Industrial Engineers, Accounting Today , the Cutter IT Journal , and the Institute of Supply Management (ISM), and is a frequent keynote speaker and workshop leader for U.S. and international conferences.

Dr. Deborah Cernauskas is Senior Adviser to the Center for Business Innovation in Finance and Investment, Santa Clara University; and Senior Adviser to IBM′s Governance, Risk, and Compliance Center of Excellence. Her career includes time spent in both academia and the industry. She has taught finance at both the graduate and undergraduate levels at several Chicago universities, including Northern Illinois University. Her multifaceted industry experience includes corporate development, operational finance, market research, and commodities trading research.