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Verisk Analytics, Inc. is a leading provider of data analytics solutions with a strong presence in the United States and globally. Since its founding in 1971 and headquartered in Jersey City, New Jersey, Verisk specializes in predictive analytics and decision support across various sectors, including insurance, energy, financial services, and more. The company's solutions are crucial for customers involved in rating, underwriting, claims, catastrophe and weather risk, global risk analytics, natural resources intelligence, economic forecasting, commercial banking, and finance.
Verisk operates through three primary segments: Insurance, Energy and Specialized Markets, and Financial Services. The Insurance segment focuses on loss prediction, risk selection and pricing, and regulatory compliance for property and casualty clients. It leverages advanced machine learning and artificial intelligence to develop models that forecast scenarios, provide standard and customized analytics, and assist in fraud detection and loss quantification before and after incidents. The Energy and Specialized Markets segment delivers data analytics across the natural resources value chain, supporting sectors such as energy, chemicals, metals, mining, power, and renewables. It also offers research, consulting services for capital allocation, asset valuation, commodity markets, and corporate analysis, alongside business strategy and commercial advisory services.
The Financial Services segment provides a suite of solutions including benchmarking, decisioning algorithms, business intelligence, and customized analytics tailored for financial institutions, payment networks, alternative lenders, regulators, and merchants. Verisk's comprehensive approach enables its clients to enhance their operational efficiency, manage risks effectively, and make informed decisions. Through its continuous innovation and deep industry expertise, Verisk Analytics continues to empower clients with actionable insights, enhancing their ability to navigate complex challenges in their respective fields.
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