Verisk Analytics
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$26.23B
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$2.88B
Verisk Analytics, Inc. engages in the provision of data, analytics, and technology services. The company is headquartered in Jersey City, New Jersey and currently employs 8,000 full-time employees. The company went IPO on 2009-10-07. The firm offers predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many other fields. Its insurance segment serves its property and casualty insurance customers across personal and commercial lines of business, focusing on insurance programs, the prediction of loss, the selection and pricing of risk, and compliance with their reporting requirements in each United States state in which they operate. The company also develops and utilizes machine-learned and artificially intelligent models to forecast scenarios and produce both standard and customized analytics that help its customers better manage their businesses, including detecting fraud before and after a loss event. The company owns a SaaS platform that supports an open ecosystem where specialized model partners make their models, hazard data and analytics.
Verisk Analytics integrates with Roofr and Pilotbird, achieving a 20.07% year-to-date return amid industry challenges, showcasing resilience in analytics and technology solutions.
Verisk Analytics, Inc. engages in the provision of data, analytics, and technology services. The company is headquartered in Jersey City, New Jersey and currently employs 8,000 full-time employees. The company went IPO on 2009-10-07. The firm offers predictive analytics and decision support solutions to clients in rating, underwriting, claims, catastrophe, weather risk, and many other fields. Its insurance segment serves its property and casualty insurance customers across personal and commercial lines of business, focusing on insurance programs, the prediction of loss, the selection and pricing of risk, and compliance with their reporting requirements in each United States state in which they operate. The company also develops and utilizes machine-learned and artificially intelligent models to forecast scenarios and produce both standard and customized analytics that help its customers better manage their businesses, including detecting fraud before and after a loss event. The company owns a SaaS platform that supports an open ecosystem where specialized model partners make their models, hazard data and analytics.
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