Big Data For Insurance Companies
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Big Data For Insurance Companies
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Author : Marine Corlosquet-Habart
language : en
Publisher: John Wiley & Sons
Release Date : 2018-01-19
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 2018-01-19 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.
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 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.
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.
Big Data Revolution
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Author : Rob Thomas
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-05
Big Data Revolution written by Rob Thomas 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 2015-01-05 with Technology & Engineering categories.
Exploit the power and potential of Big Data to revolutionizebusiness outcomes Big Data Revolution is a guide to improving performance,making better decisions, and transforming business through theeffective use of Big Data. In this collaborative work by an IBMVice President of Big Data Products and an Oxford Research Fellow,this book presents inside stories that demonstrate the power andpotential of Big Data within the business realm. Readers are guidedthrough tried-and-true methodologies for getting more out of data,and using it to the utmost advantage. This book describes the majortrends emerging in the field, the pitfalls and triumphs beingexperienced, and the many considerations surrounding Big Data, allwhile guiding readers toward better decision making from theperspective of a data scientist. Companies are generating data faster than ever before, andmanaging that data has become a major challenge. With the rightstrategy, Big Data can be a powerful tool for creating effectivebusiness solutions – but deep understanding is key whenapplying it to individual business needs. Big DataRevolution provides the insight executives need to incorporateBig Data into a better business strategy, improving outcomes withinnovation and efficient use of technology. Examine the major emerging patterns in Big Data Consider the debate surrounding the ethical use of data Recognize patterns and improve personal and organizationalperformance Make more informed decisions with quantifiable results In an information society, it is becoming increasingly importantto make sense of data in an economically viable way. It can drivenew revenue streams and give companies a competitive advantage,providing a way forward for businesses navigating an increasinglycomplex marketplace. Big Data Revolution provides expertinsight on the tool that can revolutionize industries.
Technology And The Insurance Industry
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Author : Antonella Cappiello
language : en
Publisher: Springer
Release Date : 2018-02-23
Technology And The Insurance Industry written by Antonella Cappiello and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with Business & Economics categories.
The book analyzes the role of technology in the redefinition of the competitiveness of insurance markets. With a focus on the competitive challenges of InsurTech startup to the incumbent insurers, the book will discuss the strategic role of technology both in the development and in the distribution of insurance services and explore the customer relationship evolution following the digitalization of services offered. The book presents original theoretical and empirical contributions addressing how digitalization impacts the insurance environment and regulation, and how InsurTech development represents a threat for traditional companies, from Big Data analysis to digital devices, from personal interactivity to home automation systems development. The project’s key benefit is up-to-date analysis of the competitiveness of technology usage in the insurance field, with particular reference to the distributive variable and to the future trends of the customer relationship in the short and medium-long term. The book will be of particular interest to scholars and students of insurance and financial technology.
Data Profiling And Insurance Law
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Author : Brendan McGurk
language : en
Publisher:
Release Date : 2019
Data Profiling And Insurance Law written by Brendan McGurk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
"This timely, expertly written monograph looks at the legal impact that the use of 'Big Data' will have on the provision - and substantive law - of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry"--Bloomsbury Publishing.
Digitalization In The Insurance Industry An Analysis
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Author :
language : en
Publisher: GRIN Verlag
Release Date : 2022-01-18
Digitalization In The Insurance Industry An Analysis written by and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Business & Economics categories.
Seminar paper from the year 2017 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 2,3, , language: English, abstract: Digitization is without question one of the most significant and biggest megatrends of our time. It is changing all areas of people's lives, and at an extraordinary speed. Professional life in particular is changing dramatically. Generations are growing up with new possibilities and realities. Where companies used to use time cards and phones with dials, digital time recording systems and smartphones are now preferred. This paper focuses on a subset of the megatrend, namely digitalization as it relates to the insurance industry. First, key aspects of digital transformation are described. Starting with a comprehensive definition of digitalization in general, as well as a description of the development in this area to date. In the course of the essential aspects, a presentation of extensive facts of the insurance industry and its specific challenges follows. This serves as a basis for the industry-specific issues to be addressed subsequently.