Insurance Data Analytics
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Big Data Analytics In The Insurance Market
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Author : Kiran Sood
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-07-18
Big Data Analytics In The Insurance Market written by Kiran Sood and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Business & Economics categories.
Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.
Applied Insurance Analytics
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Author : Patricia L Saporito
language : en
Publisher: FT Press
Release Date : 2014-06-16
Applied Insurance Analytics written by Patricia L Saporito and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Business & Economics categories.
Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business. Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way. Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise. For every insurance industry professional and manager concerned with analytics, including users, IT pros, sales/marketing specialists, and data scientists. This book will also be valuable to students in any MBA or other program focused on insurance or risk management, and to many students in IT or analytics-specific programs.
Insurance Data Analytics
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Author :
language : en
Publisher:
Release Date : 2020-09-04
Insurance Data Analytics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-04 with categories.
Analytics For Insurance
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Author : Tony Boobier
language : en
Publisher: John Wiley & Sons
Release Date : 2016-08-01
Analytics For Insurance written by Tony Boobier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-01 with Business & Economics categories.
The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Big Data Analytics For Risk And Insurance
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Author : Michael W. Elliot
language : en
Publisher:
Release Date : 2020
Big Data Analytics For Risk And Insurance written by Michael W. Elliot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Big data categories.
Big Data For Insurance Companies
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Author : Marine Corlosquet-Habart
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13
Big Data For Insurance Companies written by Marine Corlosquet-Habart and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Business & Economics categories.
This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.
Big Data
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Author : Kiran Sood
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-07-19
Big Data written by Kiran Sood and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-19 with Business & Economics categories.
Striking a balance between the technical characteristics of the subject and the practical aspects of decision making, spanning from fraud analytics in claims management, to customer analytics, to risk analytics in solvency, the comprehensive coverage presented makes Big Data an invaluable resource for any insurance professional.
Big Data Analytics For Risk And Insurance
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Author : Michael W. Elliot
language : en
Publisher:
Release Date : 2016
Big Data Analytics For Risk And Insurance written by Michael W. Elliot and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Big data categories.
The Digital Journey Of Banking And Insurance Volume Iii
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Author : Volker Liermann
language : en
Publisher: Springer Nature
Release Date : 2021-10-27
The Digital Journey Of Banking And Insurance Volume Iii written by Volker Liermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-27 with Business & Economics categories.
This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. In the last volume of the series, “Data Storage, Processing and Analysis”, the shifts in the way we deal with data are addressed.
Fundamental Aspects Of Operational Risk And Insurance Analytics
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Author : Marcelo G. Cruz
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-20
Fundamental Aspects Of Operational Risk And Insurance Analytics written by Marcelo G. Cruz and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-20 with Mathematics categories.
A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete overview of operational risk modeling and relevant insurance analytics, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk offers a systematic approach that covers the wide range of topics in this area. Written by a team of leading experts in the field, the handbook presents detailed coverage of the theories, applications, and models inherent in any discussion of the fundamentals of operational risk, with a primary focus on Basel II/III regulation, modeling dependence, estimation of risk models, and modeling the data elements. Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk begins with coverage on the four data elements used in operational risk framework as well as processing risk taxonomy. The book then goes further in-depth into the key topics in operational risk measurement and insurance, for example diverse methods to estimate frequency and severity models. Finally, the book ends with sections on specific topics, such as scenario analysis; multifactor modeling; and dependence modeling. A unique companion with Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk, the handbook also features: Discussions on internal loss data and key risk indicators, which are both fundamental for developing a risk-sensitive framework Guidelines for how operational risk can be inserted into a firm’s strategic decisions A model for stress tests of operational risk under the United States Comprehensive Capital Analysis and Review (CCAR) program A valuable reference for financial engineers, quantitative analysts, risk managers, and large-scale consultancy groups advising banks on their internal systems, the handbook is also useful for academics teaching postgraduate courses on the methodology of operational risk.