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.
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