OPERATIONAL RISK MANAGEMENT A PRACTICAL APPROACH TO INTELLIGENT DATA ANALYSIS (H/C)

MODELS AND METHODS FOR OPERATIONAL RISKS ASSESSMENT AND MITIGATION ARE GAINING IMPORTANCE IN FINANCIAL INSTITUTIONS, HEALTHCARE ORGANIZATIONS, INDUSTRY, BUSINESSES AND ORGANISATIONS IN GENERAL. THIS BOOK INTRODUCES MODERN OPERATIONAL RISK MANAGEMENT AND DESCRIBES HOW VARIOUS DATA SOURCES OF DIFFERENT TYPES, BOTH NUMERIC AND SEMANTIC SOURCES SUCH AS TEXT CAN BE INTEGRATED AND ANALYZED. THE BOOK ALSO DEMONSTRATES HOW OPERATIONAL RISK MANAGEMENT IS SYNERGETIC TO OTHER RISK MANAGEMENT ACTIVITIES SUCH AS FINANCIAL RISK MANAGEMENT AND SAFETY MANAGEMENT. OPERATIONAL RISK MANAGEMENT A PRACTICAL APPROACH TO INTELLIGENT DATA ANALYSIS PROVIDES PRACTICAL AND TESTED METHODOLOGIES FOR COMBINING STRUCTURED AND UNSTRUCTURED, SEMANTIC-BASED DATA, AND NUMERIC DATA, IN OPERATIONAL RISK MANAGEMENT (OPR) DATA ANALYSIS. KEY FEATURES* THE BOOK IS PRESENTED IN FOUR PARTS 1) INTRODUCTION TO OPR MANAGEMENT, 2) DATA FOR OPR MANAGEMENT, 3) OPR ANALYTICS AND 4) OPR APPLICATIONS AND ITS INTEGRATION WITH OTHER DI