A majority of property/casualty insurers polled by Towers Watson said they consider predictive modeling important to their businesses, particularly for personal-lines carriers. "Working to establish consistency in underwriting and claim internal data capture electronically in defined fields, particularly for nonfinancial but potentially predictive variables, will position carriers to fully leverage their book of business in building better predictive models for risk selection, pricing and claim settlement," says Brian Stoll of Towers Watson.

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