SAS and iCAS generating certified analytics talent for insurers

According to a predictive modeling survey of US property and casualty executives by Willis Towers Watson, "…people are the biggest challenge to generating business value from data, as insurance companies often lack employees with the right training and skills." The SAS support of the CSPA credential means professionals can use the same software they use every day to gain high-demand advanced analytics skills, and the certification to validate those skills.
SAS® software is used in nearly every large insurance company in the US. Analytics helps insurers optimize business processes, combat fraud, predict losses and manage spiraling operational costs, increasing competition and rising claim expenses.
Earning the CSPA credential includes completing two online courses, passing three exams and completing a project that challenges candidates to use what they have learned to address a real-world scenario. SAS software will be available for candidates to use during the project.
"We are pleased to collaborate with an organization like SAS, which can provide tools to allow CSPA candidates to truly mirror on-the-job scenarios and certify mastery of the practical skills that employers come to expect from our rigorous credentials," said
Today's announcement was made at the CAS Ratemaking, Product and Modeling (RPM) Seminar in
The SAS Global Certification program has long been the standard for industries like banking, pharma and insurance. Launched in 1999 to validate SAS skills and knowledge, the program has awarded more than 118,000 SAS credentials to individuals in 77 countries, but the CSPA program is unique.
"This is the first credential that allows insurance companies to put their SAS experts through a certification program specifically for insurers," said
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SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.
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SOURCE SAS


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