Big Data Analytics For Risk And Insurance

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Analytics for Insurance

Author : Tony Boobier
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.

Analytics for Insurance

Author : Tony Boobier
Publisher : John Wiley & Sons
ISBN 13 : 1119141095
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 2016-08-01 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.

Big Data Analytics for Risk and Insurance

Author : Michael W. Elliot
Publisher :
ISBN 13 : 9780894623929
Total Pages : 0 pages
Book Rating : 4.6/5 (239 download)

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Book Synopsis Big Data Analytics for Risk and Insurance by : Michael W. Elliot

Download or read book Big Data Analytics for Risk and Insurance written by Michael W. Elliot and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Big Data Analytics in the Insurance Market

Author : Kiran Sood
Publisher : Emerald Group Publishing
ISBN 13 : 1802626379
Total Pages : 404 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis Big Data Analytics in the Insurance Market by : Kiran Sood

Download or read book Big Data Analytics in the Insurance Market written by Kiran Sood and published by Emerald Group Publishing. This book was released on 2022-07-18 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics for Risk and Insurance

Author : Michael W. Elliot
Publisher :
ISBN 13 : 9780894639036
Total Pages : pages
Book Rating : 4.6/5 (39 download)

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Book Synopsis Big Data Analytics for Risk and Insurance by : Michael W. Elliot

Download or read book Big Data Analytics for Risk and Insurance written by Michael W. Elliot and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Horizons for a Data-Driven Economy

Author : José María Cavanillas
Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 303 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 303 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.

Applied Insurance Analytics

Author : Patricia L. Saporito
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.

Big Data

Author : Kiran Sood
Publisher : Emerald Group Publishing
ISBN 13 : 1802626077
Total Pages : 283 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis Big Data by : Kiran Sood

Download or read book Big Data written by Kiran Sood and published by Emerald Group Publishing. This book was released on 2022-07-19 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 in the Insurance Market

Author : Kiran Sood
Publisher : Emerald Group Publishing
ISBN 13 : 1802626395
Total Pages : 254 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis Big Data Analytics in the Insurance Market by : Kiran Sood

Download or read book Big Data Analytics in the Insurance Market written by Kiran Sood and published by Emerald Group Publishing. This book was released on 2022-07-18 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Analytics and Intelligence

Author : Poonam Tanwar
Publisher : Emerald Group Publishing
ISBN 13 : 1839090995
Total Pages : 392 pages
Book Rating : 4.8/5 (39 download)

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Book Synopsis Big Data Analytics and Intelligence by : Poonam Tanwar

Download or read book Big Data Analytics and Intelligence written by Poonam Tanwar and published by Emerald Group Publishing. This book was released on 2020-09-30 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Big Data for Insurance Companies

Author : Marine Corlosquet-Habart
Publisher : John Wiley & Sons
ISBN 13 : 1786300737
Total Pages : 190 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Big Data for Insurance Companies by : Marine Corlosquet-Habart

Download or read book Big Data for Insurance Companies written by Marine Corlosquet-Habart and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analytics in a Big Data World

Author : Bart Baesens
Publisher : John Wiley & Sons
ISBN 13 : 1118892747
Total Pages : 262 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Analytics in a Big Data World by : Bart Baesens

Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Big Data Analytics: Systems, Algorithms, Applications

Author : C.S.R. Prabhu
Publisher : Springer Nature
ISBN 13 : 9811500940
Total Pages : 412 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Big Data Analytics: Systems, Algorithms, Applications by : C.S.R. Prabhu

Download or read book Big Data Analytics: Systems, Algorithms, Applications written by C.S.R. Prabhu and published by Springer Nature. This book was released on 2019-10-14 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.

From Big Data to Big Profits

Author : Russell Walker
Publisher : Oxford University Press
ISBN 13 : 0190260696
Total Pages : 352 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis From Big Data to Big Profits by : Russell Walker

Download or read book From Big Data to Big Profits written by Russell Walker and published by Oxford University Press. This book was released on 2015-07-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics

Applying Predictive Analytics Within the Service Sector

Author : Sahu, Rajendra
Publisher : IGI Global
ISBN 13 : 1522521496
Total Pages : 294 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Applying Predictive Analytics Within the Service Sector by : Sahu, Rajendra

Download or read book Applying Predictive Analytics Within the Service Sector written by Sahu, Rajendra and published by IGI Global. This book was released on 2017-02-07 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry.

The Digital Journey of Banking and Insurance, Volume III

Author : Volker Liermann
Publisher : Springer Nature
ISBN 13 : 3030788210
Total Pages : 278 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis The Digital Journey of Banking and Insurance, Volume III by : Volker Liermann

Download or read book The Digital Journey of Banking and Insurance, Volume III written by Volker Liermann and published by Springer Nature. This book was released on 2021-10-27 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Analytics

Author : P. Krishna Reddy
Publisher : Springer
ISBN 13 : 3319724134
Total Pages : 316 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Big Data Analytics by : P. Krishna Reddy

Download or read book Big Data Analytics written by P. Krishna Reddy and published by Springer. This book was released on 2017-12-04 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 5th International Conference on Big Data Analytics, BDA 2017, held in Hyderabad, India, in December 2017. The 21 revised full papers were carefully reviewed and selected from 80 submissions and cover topics on big data analytics, information and knowledge management, mining of massive datasets, computational modeling, data mining and analysis.