Who We Are
Verisk Analytics is a leading data analytics provider serving customers in:
- insurance
- energy and specialized markets
- financial services
We’ve been delivering data, analytics, and decision support services to our customers for more than 45 years.
We're a socially responsible global company operating in 29 countries around the world. Our industry-leading brands include ISO, Xactware, AIR Worldwide, Argus, and Wood Mackenzie.
Verisk Analytics is a member of Standard & Poor’s S&P 500® Index and part of the NASDAQ-100 Index. In 2017, Forbes magazine named Verisk Analytics to its World's Most Innovative Companies list and to its America's Best Employers list. Verisk is one of only 7 companies to appear on both lists. Verisk also received the Great Place to Work® Certification for its outstanding workplace culture for the second consecutive year.
Our Corporate Brochures
Verisk capabilities brochureWhat We Do
Using advanced technologies to collect and analyze billions of records, Verisk Analytics draws on unique data assets and deep domain expertise to provide first-to-market innovations that are integrated into customer workflows. We offer predictive analytics and decision support solutions to customers in rating, underwriting, claims, catastrophe and weather risk, global risk analytics, natural resources intelligence, economic forecasting, and many other fields.
We help customers make better decisions about risk, investments, and operations with greater precision, efficiency, and discipline. In the United States and around the world, Verisk Analytics helps customers protect people, property, and financial assets.
Our People
We employ about 7,500 people worldwide to meet the needs of our diverse customers. Members of our highly skilled workforce hold about 2,000 master’s degrees, doctorates, and advanced degrees in predictive analytics, data science, actuarial science, mathematics, computer science, chemistry, physics, economics, engineering, meteorology, and GIS mapping.
Corporate Social Responsibility
