Applied Insurance Analytics:A Framework for Driving More Value from Data Assets, Technologies, and Tools Patricia L Saporito
Analytics for Insurance:The Real Business of Big Data Tony Boobier
Fundamental Aspects of Operational Risk and Insurance Analytics:A Handbook of Operational Risk Marcelo G. Cruz, Gareth W. Peters, Pavel V. Shevchenko
Residents in Boston, Massachusetts, are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don´t have to be Nate Silver to reap massive benefits from today´s new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It´s time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and l 1. Language: English. Narrator: Stephen Dexter. Audio sample: http://samples.audible.de/bk/gdan/003065/bk_gdan_003065_sample.mp3. Digital audiobook in aax.
Harness ´´Code Halos´´ to gain competitive advantage in the digital era Amazon beating Borders, Netflix beating Blockbuster, Apple beating Kodak, and the rise of companies like Google, LinkedIn, and Pandora are not isolated or random events. Today´s outliers in revenue growth and value creation are winning with a new set of rules. They are dominating by managing the information that surrounds people, organizations, processes, and products - what authors Malcolm Frank, Paul Roehrig, and Ben Pring call Code Halos. This is far beyond ´´Big Data” and analytics. Code Halos spark new commercial models that can dramatically flip market dominance from industry stalwarts to challengers. In this new book, the authors show leaders how digital innovators and traditional companies can build Code Halo solutions to drive success. The book:Examines the explosion of digital information that now surrounds us and describes the profound impact this is having on individuals, corporations, and societiesShows how the Crossroads Model can help anticipate and navigate this market shiftProvides examples of traditional firms already harnessing the power of Code Halos including GE´s ´´Brilliant Machines,´´ Disney´s theme park ´´Magic Band,´´ and Allstate´s mobile devices and analytics that transform auto insurance With reasoned insight, new data, real-world cases, and practical guidance, Code Halos shows seasoned executives, entrepreneurs, students, line-of-business owners, and technology leaders how to master the new rules of the Code Halo economy. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your My Library section along with the audio. 1. Language: English. Narrator: Ben Pring. Audio sample: http://samples.audible.de/bk/adbl/019212/bk_adbl_019212_sample.mp3. Digital audiobook in aax.
Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value. It examines the indispensable role of economic modeling in the future of digitization, thus providing industry professionals with the tools they need to optimize the management of financial risks associated with this megatrend. The book addresses three problem areas: the valuation of digital assets, measurement of risk exposures of digital valuables, and economic modeling for the management of such risks. Employing a pair of novel cyber risk measurement units, bitmort and hekla, the book covers areas of value, risk, control, and return, each of which are viewed from the perspective of entity (e.g., individual, organization, business), portfolio (e.g., industry sector, nation-state), and global ramifications. Establishing adequate, holistic, and statistically robust data points on the entity, portfolio, and global levels for the development of a cybernomics databank is essential for the resilience of our shared digital future. This book also argues existing economic value theories no longer apply to the digital era due to the unique characteristics of digital assets. It introduces six laws of digital theory of value, with the aim to adapt economic value theories to the digital and machine era. . Comprehensive literature review on existing digital asset valuation models, cyber risk management methods, security control frameworks, and economics of information security . Discusses the implication of classical economic theories under the context of digitization, as well as the impact of rapid digitization on the future of value . Analyzes the fundamental attributes and measurable characteristics of digital assets as economic goods . Discusses the scope and measurement of digital economy . Highlights cutting-edge risk measurement practices regarding cybersecurity risk management . Introduces novel concepts, models, and theories, including opportunity value, Digital Valuation Model, six laws of digital theory of value, Cyber Risk Quadrant, and most importantly, cyber risk measures hekla and bitmort . Introduces cybernomics, that is, the integration of cyber risk management and economics to study the requirements of a databank in order to improve risk analytics solutions for (1) the valuation of digital assets, (2) the measurement of risk exposure of digital assets, and (3) the capital optimization for managing residual cyber risk . Provides a case study on cyber insurance