{"product_id":"operational-risk-management-a-practical-approach-to-intelligent-data-analysis-hardback-9780470747483","title":"Operational Risk Management; A Practical Approach to Intelligent Data Analysis (Hardback) 9780470747483","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eOperational Risk Management\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Practical Approach to Intelligent Data Analysis\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRon S. Kenett (Edited by), RS Kenett (Author), Yossi Raanan (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470747483, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 October 2010\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e336 pages\u003cbr\u003e23.6 x 15.6 x 2.2 cm, 0.603 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eModels 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.  \u003cp\u003e\u003ci\u003eOperational Risk Management: a practical approach to intelligent data analysis\u003c\/i\u003e provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKey Features:\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe 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.\u003c\/li\u003e \u003cli\u003eExplores integration of semantic, unstructured textual data, in Operational Risk Management.\u003c\/li\u003e \u003cli\u003eProvides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies.\u003c\/li\u003e \u003cli\u003ePresents a comprehensive treatment of \"near-misses\" data and incidents in Operational Risk Management.\u003c\/li\u003e \u003cli\u003eLooks at case studies in the financial and industrial sector.\u003c\/li\u003e \u003cli\u003eDiscusses application of ontology engineering to model knowledge used in Operational Risk Management.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eMany 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eForeword.  \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eNotes on Contributors.\u003c\/p\u003e \u003cp\u003eList of Acronyms.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I INTRODUCTION TO OPERATIONAL RISK MANAGEMENT.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Risk management: a general view\u003c\/b\u003e (\u003ci\u003eRon S. Kenett, Richard Pike and Yossi Raanan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e1.1 Introduction.\u003c\/p\u003e \u003cp\u003e1.2 Definitions of risk.\u003c\/p\u003e \u003cp\u003e1.3 Impact of risk.\u003c\/p\u003e \u003cp\u003e1.4 Types of risk.\u003c\/p\u003e \u003cp\u003e1.5 Enterprise risk management.\u003c\/p\u003e \u003cp\u003e1.6 State of the art in enterprise risk management.\u003c\/p\u003e \u003cp\u003e1.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Operational risk management: an overview\u003c\/b\u003e (\u003ci\u003eYossi Raanan, Ron S. Kenett and Richard Pike\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e2.1 Introduction.\u003c\/p\u003e \u003cp\u003e2.2 Definitions of operational risk management.\u003c\/p\u003e \u003cp\u003e2.3 Operational risk management techniques.\u003c\/p\u003e \u003cp\u003e2.4 Operational risk statistical models.\u003c\/p\u003e \u003cp\u003e2.5 Operational risk measurement techniques.\u003c\/p\u003e \u003cp\u003e2.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II DATA FOR OPERATIONAL RISK MANAGEMENT AND ITS HANDLING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Ontology-based modelling and reasoning in operational risks\u003c\/b\u003e (\u003ci\u003eChristian Leibold, Hans-Ulrich Krieger and Marcus Spies\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e3.1 Introduction.\u003c\/p\u003e \u003cp\u003e3.2 Generic and axiomatic ontologies.\u003c\/p\u003e \u003cp\u003e3.3 Domain-independent ontologies.\u003c\/p\u003e \u003cp\u003e3.4 Standard reference ontologies.\u003c\/p\u003e \u003cp\u003e3.5 Operational risk management.\u003c\/p\u003e \u003cp\u003e3.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Semantic analysis of textual input\u003c\/b\u003e (\u003ci\u003eHoracio Saggion, Thierry Declerck and Kalina Bontcheva\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e4.1 Introduction.\u003c\/p\u003e \u003cp\u003e4.2 Information extraction.\u003c\/p\u003e \u003cp\u003e4.3 The general architecture for text engineering.\u003c\/p\u003e \u003cp\u003e4.4 Text analysis components.\u003c\/p\u003e \u003cp\u003e4.5 Ontology support.\u003c\/p\u003e \u003cp\u003e4.6 Ontology-based information extraction.\u003c\/p\u003e \u003cp\u003e4.7 Evaluation.\u003c\/p\u003e \u003cp\u003e4.8 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 A case study of ETL for operational risks\u003c\/b\u003e (\u003ci\u003eValerio Grossi and Andrea Romei\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e5.1 Introduction.\u003c\/p\u003e \u003cp\u003e5.2 ETL (Extract, Transform and Load).\u003c\/p\u003e \u003cp\u003e5.3 Case study specification.\u003c\/p\u003e \u003cp\u003e5.4 The ETL-based solution.\u003c\/p\u003e \u003cp\u003e5.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Risk-based testing of web services\u003c\/b\u003e (\u003ci\u003eXiaoying Bai and Ron S. Kenett\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e6.1 Introduction.\u003c\/p\u003e \u003cp\u003e6.2 Background.\u003c\/p\u003e \u003cp\u003e6.3 Problem statement.\u003c\/p\u003e \u003cp\u003e6.4 Risk assessment.\u003c\/p\u003e \u003cp\u003e6.5 Risk-based adaptive group testing.\u003c\/p\u003e \u003cp\u003e6.6 Evaluation.\u003c\/p\u003e \u003cp\u003e6.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III OPERATIONAL RISK ANALYTICS.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Scoring models for operational risks\u003c\/b\u003e (\u003ci\u003ePaolo Giudici\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e7.1 Background.\u003c\/p\u003e \u003cp\u003e7.2 Actuarial methods.\u003c\/p\u003e \u003cp\u003e7.3 Scorecard models.\u003c\/p\u003e \u003cp\u003e7.4 Integrated scorecard models.\u003c\/p\u003e \u003cp\u003e7.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Bayesian merging and calibration for operational risks\u003c\/b\u003e (\u003ci\u003eSilvia Figini\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Methodological proposal.\u003c\/p\u003e \u003cp\u003e8.3 Application.\u003c\/p\u003e \u003cp\u003e8.4 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Measures of association applied to operational risks\u003c\/b\u003e (\u003ci\u003eRon S. Kenett and Silvia Salini\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e9.1 Introduction.\u003c\/p\u003e \u003cp\u003e9.2 The arules R script library.\u003c\/p\u003e \u003cp\u003e9.3 Some examples.\u003c\/p\u003e \u003cp\u003e9.4 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV OPERATIONAL RISK APPLICATIONS AND INTEGRATION WITH OTHER DISCIPLINES.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Operational risk management beyond AMA: new ways to quantify non-recorded losses\u003c\/b\u003e (\u003ci\u003eGiorgio Aprile, Antonio Pippi and Stefano Visinoni\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e10.1 Introduction.\u003c\/p\u003e \u003cp\u003e10.2 Non-recorded losses in a banking context.\u003c\/p\u003e \u003cp\u003e10.3 Methodology.\u003c\/p\u003e \u003cp\u003e10.4 Performing the analysis: a case study.\u003c\/p\u003e \u003cp\u003e10.5 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Combining operational risks in financial risk assessment scores\u003c\/b\u003e (\u003ci\u003eMichael Munsch, Silvia Rohe and Monika Jungemann-Dorner\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e11.1 Interrelations between financial risk management and operational risk management.\u003c\/p\u003e \u003cp\u003e11.2 Financial rating systems and scoring systems.\u003c\/p\u003e \u003cp\u003e11.3 Data management for rating and scoring.\u003c\/p\u003e \u003cp\u003e11.4 Use case: business retail ratings for assessment of probabilities of default.\u003c\/p\u003e \u003cp\u003e11.5 Use case: quantitative financial ratings and prediction of fraud.\u003c\/p\u003e \u003cp\u003e11.6 Use case: money laundering and identification of the beneficial owner.\u003c\/p\u003e \u003cp\u003e11.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Intelligent regulatory compliance\u003c\/b\u003e (\u003ci\u003eMarcus Spies, Rolf Gubser and Markus Schacher\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e12.1 Introduction to standards and specifications for business governance.\u003c\/p\u003e \u003cp\u003e12.2 Specifications for implementing a framework for business governance.\u003c\/p\u003e \u003cp\u003e12.3 Operational risk from a BMM\/SBVR perspective.\u003c\/p\u003e \u003cp\u003e12.4 Intelligent regulatory compliance based on BMM and SBVR.\u003c\/p\u003e \u003cp\u003e12.5 Generalization: capturing essential concepts of operational risk in UML and BMM.\u003c\/p\u003e \u003cp\u003e12.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Democratisation of enterprise risk management\u003c\/b\u003e (\u003ci\u003ePaolo Lombardi, Salvatore Piscuoglio, Ron S. Kenett, Yossi Raanan and Markus Lankinen\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e13.1 Democratisation of advanced risk management services.\u003c\/p\u003e \u003cp\u003e13.2 Semantic-based technologies and enterprise-wide risk management.\u003c\/p\u003e \u003cp\u003e13.3 An enterprise-wide risk management vision.\u003c\/p\u003e \u003cp\u003e13.4 Integrated risk self-assessment: a service to attract customers.\u003c\/p\u003e \u003cp\u003e13.5 A real-life example in the telecommunications industry.\u003c\/p\u003e \u003cp\u003e13.6 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Operational risks, quality, accidents and incidents\u003c\/b\u003e (\u003ci\u003eRon S. Kenett and Yossi Raanan\u003c\/i\u003e).\u003c\/p\u003e \u003cp\u003e14.1 The convergence of risk and quality management.\u003c\/p\u003e \u003cp\u003e14.2 Risks and the Taleb quadrants.\u003c\/p\u003e \u003cp\u003e14.3 The quality ladder.\u003c\/p\u003e \u003cp\u003e14.4 Risks, accidents and incidents.\u003c\/p\u003e \u003cp\u003e14.5 Operational risks in the oil and gas industry.\u003c\/p\u003e \u003cp\u003e14.6 Operational risks: data management, modelling and decision making.\u003c\/p\u003e \u003cp\u003e14.7 Summary.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIndex.\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52278026633496,"sku":"9780470747483","price":81.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470747483.jpg?v=1781456414","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/operational-risk-management-a-practical-approach-to-intelligent-data-analysis-hardback-9780470747483","provider":"Freshly Printed Books","version":"1.0","type":"link"}