Operational Risk Management: A Practical Approach to Intelligent Data Analysis - Rilegato

Libro 10 di 49: Statistics in Practice
 
9780470747483: Operational Risk Management: A Practical Approach to Intelligent Data Analysis
Rilegato
ISBN 10: 047074748X ISBN 13: 9780470747483
Casa editrice: John Wiley & Sons Inc, 2010

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
John Wiley & Sons Inc
Data di pubblicazione
2010
Lingua
Inglese
ISBN 10 
047074748X
ISBN 13 
9780470747483
Rilegatura
Copertina rigida
Numero di pagine
285
Redattore
Kenett Ron S., Raanan Yossi
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

Altre edizioni note dello stesso titolo

9780470972571: Operational Risk Management : A practical approach to intelligent data anal

Edizione in evidenza

ISBN 10:  0470972572 ISBN 13:  9780470972571
Casa editrice: John Wiley & Sons, 2010
Brossura