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A new LexisNexis Risk Solutions report explains how small commercial business insurance carriers can turn their top challenges into competitive advantages.
Simply having lots of data gets us nowhere. We need a different approach.
The location of suppliers should be a key consideration in supply chain risk management.
Modeling will make the market, experts at a New York industry event said.
The Texas flooding is a prime opportunity for insurers to learn more about automobile technology’s impact on claims numbers.
It’s important to set up environments where experimentation is possible.
The lack of accurate data, claim complexity and other factors are preventing predictive modeling from being effective for cyber risk.
The data we collect is more powerful than ever before, but we still need to learn how to leverage it into information that can be acted upon.
Liberty Mutual’s new medical director says experience plus the rights tools equal superior claims outcomes.
Sometimes the best data you have is your own.
It will be a wild ride for the primary and excess GL market in 2015.
Experts see tremendous potential in using predictive analytics for to predict the probability of injury and disease.
Being a prompt payer insures against insolvency supply chain risk.
The Internet of Things may lead to more personalized insurance coverage, benefiting both insurers and customers.
Insurers need an enterprisewide data and analytics approach to products and customer service that includes social media.
Alternative capital is shaking up the reinsurance market, while issues such as Big Data are moving onto the agenda.
An earthquake decimates a retailer’s servers and its supply chain.
In getting safety program funding, an actuary is a risk manager’s ally.
An over-reliance on models is diminishing the art of underwriting.
An outcomes-based litigation strategy calls for benchmarking workers’ compensation attorney performance.
Analytics help identify actionable claims issues, but some tools are just “smoke and mirrors.”