Applied Insurance Analytics

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Publisher : Pearson Education
ISBN 13 : 0133760367
Total Pages : 204 pages
Book Rating : 4.1/5 (337 download)

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Book Synopsis Applied Insurance Analytics by : Patricia L. Saporito

Download or read book Applied Insurance Analytics written by Patricia L. Saporito and published by Pearson Education. This book was released on 2015 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is the insurance industry's single greatest asset. Yet many insurers radically underutilize their data assets, and are failing to fully leverage modern analytics. This makes them vulnerable to traditional and non-traditional competitors alike. Today, insurers largely apply analytics in important but stovepiped operational areas like underwriting, claims, marketing and risk management. By and large, they lack an enterprise analytic strategy -- or, if they have one, it is merely an architectural blueprint, inadequately business-driven or strategically aligned. Now, writing specifically for insurance industry professionals and leaders, Patricia Saporito uncovers immense new opportunities for driving competitive advantage from analytics -- and shows how to overcome the obstacles that stand in your way. Drawing on 25+ years of insurance industry experience, Saporito introduces proven best practices for developing, maturing, and profiting from your analytic capabilities. This user-friendly handbook advocates an enterprise strategy approach to analytics, presenting a common framework you can quickly adapt based on your unique business model and current capabilities. Saporito reviews common analytic applications by functional area, offering specific case studies and examples, and helping you build upon the analytics you're already doing. She presents data governance models and models proven to help you organize and deliver trusted data far more effectively. Finally, she provides tools and frameworks for improving the "analytic IQ" of your entire enterprise, from IT developers to business users.

Analytics for Insurance

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Publisher : John Wiley & Sons
ISBN 13 : 1119141079
Total Pages : 296 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Analytics for Insurance by : Tony Boobier

Download or read book Analytics for Insurance written by Tony Boobier and published by John Wiley & Sons. This book was released on 2016-10-10 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Government Electronic Data Processing Systems, Hearings Before the Subcommittee on Census and Statistics....89-2, June 14, 15, 28, 29, 1966

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Publisher :
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Government Electronic Data Processing Systems, Hearings Before the Subcommittee on Census and Statistics....89-2, June 14, 15, 28, 29, 1966 by : United States. Congress. House. Post Office and Civil Service

Download or read book Government Electronic Data Processing Systems, Hearings Before the Subcommittee on Census and Statistics....89-2, June 14, 15, 28, 29, 1966 written by United States. Congress. House. Post Office and Civil Service and published by . This book was released on 1966 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Science and Risk Analytics in Finance and Insurance

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Publisher : CRC Press
ISBN 13 : 1351643258
Total Pages : 1098 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Data Science and Risk Analytics in Finance and Insurance by : Tze Leung Lai

Download or read book Data Science and Risk Analytics in Finance and Insurance written by Tze Leung Lai and published by CRC Press. This book was released on 2024-10-02 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics. Key Features: Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks. Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections. Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors. Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics. Includes supplements and exercises to facilitate deeper comprehension.

New Horizons for a Data-Driven Economy

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Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Modern Methods of Clinical Investigation

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Publisher : National Academies Press
ISBN 13 : 0309042860
Total Pages : 241 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Modern Methods of Clinical Investigation by : Institute of Medicine

Download or read book Modern Methods of Clinical Investigation written by Institute of Medicine and published by National Academies Press. This book was released on 1990-02-01 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: The very rapid pace of advances in biomedical research promises us a wide range of new drugs, medical devices, and clinical procedures. The extent to which these discoveries will benefit the public, however, depends in large part on the methods we choose for developing and testing them. Modern Methods of Clinical Investigation focuses on strategies for clinical evaluation and their role in uncovering the actual benefits and risks of medical innovation. Essays explore differences in our current systems for evaluating drugs, medical devices, and clinical procedures; health insurance databases as a tool for assessing treatment outcomes; the role of the medical profession, the Food and Drug Administration, and industry in stimulating the use of evaluative methods; and more. This book will be of special interest to policymakers, regulators, executives in the medical industry, clinical researchers, and physicians.

Disrupting Finance

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Publisher : Springer
ISBN 13 : 3030023303
Total Pages : 194 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Disrupting Finance by : Theo Lynn

Download or read book Disrupting Finance written by Theo Lynn and published by Springer. This book was released on 2018-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.

Modelling in Life Insurance – A Management Perspective

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Publisher : Springer
ISBN 13 : 3319297767
Total Pages : 263 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Modelling in Life Insurance – A Management Perspective by : Jean-Paul Laurent

Download or read book Modelling in Life Insurance – A Management Perspective written by Jean-Paul Laurent and published by Springer. This book was released on 2016-05-02 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on life insurance and pensions, this book addresses various aspects of modelling in modern insurance: insurance liabilities; asset-liability management; securitization, hedging, and investment strategies. With contributions from internationally renowned academics in actuarial science, finance, and management science and key people in major life insurance and reinsurance companies, there is expert coverage of a wide range of topics, for example: models in life insurance and their roles in decision making; an account of the contemporary history of insurance and life insurance mathematics; choice, calibration, and evaluation of models; documentation and quality checks of data; new insurance regulations and accounting rules; cash flow projection models; economic scenario generators; model uncertainty and model risk; model-based decision-making at line management level; models and behaviour of stakeholders. With author profiles ranging from highly specialized model builders to decision makers at chief executive level, this book should prove a useful resource to students and academics of actuarial science as well as practitioners.

Machine Learning in Insurance

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Publisher : MDPI
ISBN 13 : 3039364472
Total Pages : 260 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Machine Learning in Insurance by : Jens Perch Nielsen

Download or read book Machine Learning in Insurance written by Jens Perch Nielsen and published by MDPI. This book was released on 2020-12-02 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a relatively new field, without a unanimous definition. In many ways, actuaries have been machine learners. In both pricing and reserving, but also more recently in capital modelling, actuaries have combined statistical methodology with a deep understanding of the problem at hand and how any solution may affect the company and its customers. One aspect that has, perhaps, not been so well developed among actuaries is validation. Discussions among actuaries’ “preferred methods” were often without solid scientific arguments, including validation of the case at hand. Through this collection, we aim to promote a good practice of machine learning in insurance, considering the following three key issues: a) who is the client, or sponsor, or otherwise interested real-life target of the study? b) The reason for working with a particular data set and a clarification of the available extra knowledge, that we also call prior knowledge, besides the data set alone. c) A mathematical statistical argument for the validation procedure.

Medical Insurance Made Easy - E-Book

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Publisher : Elsevier Health Sciences
ISBN 13 : 0323277012
Total Pages : 554 pages
Book Rating : 4.3/5 (232 download)

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Book Synopsis Medical Insurance Made Easy - E-Book by : Jill Brown

Download or read book Medical Insurance Made Easy - E-Book written by Jill Brown and published by Elsevier Health Sciences. This book was released on 2013-08-02 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Features completely updated information that reflects the many changes in the insurance industry. - Contains a new chapter on UB-92 insurance billing for hospitals and outpatient facilities. - Includes a new appendix, Quick Guide to HIPAA for the Physician's Office, to provide a basic overview of the important HIPAA-related information necessary on the job.

Insurance Distribution Directive

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Publisher : Springer Nature
ISBN 13 : 3030527387
Total Pages : 439 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Insurance Distribution Directive by : Pierpaolo Marano

Download or read book Insurance Distribution Directive written by Pierpaolo Marano and published by Springer Nature. This book was released on 2021 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access volume of the AIDA Europe Research Series on Insurance Law and Regulation offers the first comprehensive legal and regulatory analysis of the Insurance Distribution Directive (IDD). The IDD came into force on 1 October 2018 and regulates the distribution of insurance products in the EU. The book examines the main changes accompanying the IDD and analyses its impact on insurance distributors, i.e., insurance intermediaries and insurance undertakings, as well as the market. Drawing on interrelations between the rules of the Directive and other fields that are relevant to the distribution of insurance products, it explores various topics related to the interpretation of the IDD - e.g. the harmonization achieved under it; its role as a benchmark for national legislators; and its interplay with other regulations and sciences - while also providing an empirical analysis of the standardised pre-contractual information document. Accordingly, the book offers a wealth of valuable insights for academics, regulators, practitioners and students who are interested in issues concerning insurance distribution.--

Data Processing for Decision-making

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Publisher :
ISBN 13 :
Total Pages : 182 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Data Processing for Decision-making by :

Download or read book Data Processing for Decision-making written by and published by . This book was released on 1992 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generalized Linear Models for Insurance Data

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Publisher : Cambridge University Press
ISBN 13 : 1139470477
Total Pages : 207 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Generalized Linear Models for Insurance Data by : Piet de Jong

Download or read book Generalized Linear Models for Insurance Data written by Piet de Jong and published by Cambridge University Press. This book was released on 2008-02-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.

Generalized Linear Models for Insurance Rating

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Publisher :
ISBN 13 : 9780996889728
Total Pages : 106 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Generalized Linear Models for Insurance Rating by : Mark Goldburd

Download or read book Generalized Linear Models for Insurance Rating written by Mark Goldburd and published by . This book was released on 2016-06-08 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Journal

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Publisher :
ISBN 13 :
Total Pages : 544 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Journal by :

Download or read book Journal written by and published by . This book was released on 1971 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Technology and the Insurance Industry

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Publisher : Springer
ISBN 13 : 3319747126
Total Pages : 123 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Technology and the Insurance Industry by : Antonella Cappiello

Download or read book Technology and the Insurance Industry written by Antonella Cappiello and published by Springer. This book was released on 2018-02-23 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Care Without Coverage

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Publisher : National Academies Press
ISBN 13 : 0309083435
Total Pages : 213 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Care Without Coverage by : Institute of Medicine

Download or read book Care Without Coverage written by Institute of Medicine and published by National Academies Press. This book was released on 2002-06-20 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many Americans believe that people who lack health insurance somehow get the care they really need. Care Without Coverage examines the real consequences for adults who lack health insurance. The study presents findings in the areas of prevention and screening, cancer, chronic illness, hospital-based care, and general health status. The committee looked at the consequences of being uninsured for people suffering from cancer, diabetes, HIV infection and AIDS, heart and kidney disease, mental illness, traumatic injuries, and heart attacks. It focused on the roughly 30 million-one in seven-working-age Americans without health insurance. This group does not include the population over 65 that is covered by Medicare or the nearly 10 million children who are uninsured in this country. The main findings of the report are that working-age Americans without health insurance are more likely to receive too little medical care and receive it too late; be sicker and die sooner; and receive poorer care when they are in the hospital, even for acute situations like a motor vehicle crash.