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Informationen zum Autor Ron S Kenett , Chairman and CEO of KPA Ltd. also Research Professor, University of Turin, Italy and International Professor, NYU School of Engineering, New York, USA. Yossi Raanan , Senior Consultant at KPA Ltd. Also Senior Lecturer, Business School of the College of Management, Academic Studies, Rishon, LeZion, Israel. Klappentext 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 Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems. Zusammenfassung Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. Inhaltsverzeichnis Foreword. Preface. Introduction. Notes on Contributors. List of Acronyms. PART I INTRODUCTION TO OPERATIONAL RISK MANAGEMENT. 1 Risk management: a general view ( Ron S. Kenett, Richard Pike and Yossi Raanan ). 1.1 Introduction. 1.2 Definitions of risk. 1.3 Impact of risk. 1.4 Types of risk. 1.5 Enterprise risk management. 1.6 State of the art in enterprise risk management. 1.7 Summary. References. 2 Operational risk management: an overview ( Yossi Raanan, Ron S. Kenett and Richard Pike ). 2.1 Introduction. 2.2 Definitions of operational risk management. 2.3 Operational risk management techniques. 2.4 Operational risk statistical models. 2.5 Operational risk measurement techniques. 2.6 Summary. References. PART II DATA FOR OPERATIONAL RISK MANAGEMENT AND ITS HANDLING. 3 Ontology-based modelling and reasoning in operational risks ( Christian Leibold, Hans-Ulrich Krieger and Marcus Spies ). 3.1 Introduction. 3.2 Generic and axiomatic ontologies. ...
