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LexisNexis Risk Solutions

Released 17 July 2019
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Accelerate Decision Making and Improve Results Across the Entire Policy Lifecycle with Fast, Sophisticated Data Analytics

Streamline critical business processes, control costs and gain insightful business information with our unmatched combination of robust data and innovative analytics.

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Contacts

Photo of James Winship
James Winship
LexisNexis Risk Solutions
Lead Director, Global Alliances - Insurance
United States
Photo of Sean Conrad
Sean Conrad
Hannover Re
Solution expert

LexisNexis® Electronic Inspection Report provides fast access to FCRA-regulated public records information needed to help confirm information on an application, evaluate risk and make underwriting decisions. A powerful tool for underwriters, this report can provide a holistic view of the proposed insured’s public record footprint, eliminating the need to order the data components separately or gather additional informat

LexisNexis® InstantID complete identity verification, spot fraud and uncover identity discrepancies in near real-time. LexisNexis Instant ID delivers instant identity verification to drive smarter decisions and keep customer acquisition in focus.

LexisNexis® InstantID® Q&A a near real-time, interactive knowledge-based authentication technology that provides verification that a customer is who they claim to be - making authorization or access privileges simple, swift and secure. Using more robust data sources (not just wallet-based or financial history information), InstantID Q&A generates an interactive, multiple-choice knowledge-based questionnaire. Leverages more than 30 years of unique identifiers, such as property, telephone and address history.

LexisNexis® Life Data Prefill as an interactive single-inquiry solution, Life Data Prefill helps streamline the insurance application process at the point of contact, which can reduce the time and cost of capturing the data necessary to properly evaluate your applications.

LexisNexis® Motor Vehicle Records (MVRs) for Life Insurance Carriers enable consistent and accurate evaluation of driving behavior in all 50 states and the District of Columbia, with additional service for several Canadian provinces and Puerto Rico.. 

LexisNexis® National Credit File helps insurance underwriters better assess risk exposure prior to granting insurance coverage. Credit data can provide a better understanding of the risk of over-insurance, anti-selection, wealth/debt and misrepresentation of proposed insured.

LexisNexis® Phone Finder leverages phone content from a proprietary, aggregated database of wireless, unlisted and listed landlines and electronic directory, so you can easily determine the best subjects for a phone number and the best phone numbers for a subject. Helps uncover any suspicious activities associated with a phone number, as well as portability.

LexisNexis® One-Time Password offers a time-sensitive, unique random passcode via SMS message, email or voice call. No hardware other than the customer’s existing phone or personal computer is required.

LexisNexis® Risk Classifier is a scoring service that produces a score and reason codes for use in life insurance underwriting. The score and reason codes are designed to produce a result that can assist the insurer in determining the placement of the proposed insured in the proper risk classification while helping life carriers reduce the cost and time spent to assess the classification of the risk. Specific attributes derived from credit, driving history and other public records information are used to compute a single score.

LexisNexis® Risk Classifier with Medical Data combines the power of behavioral and medical data insights to help get a more complete picture of risk. Through near real-time data analytics tools, personal history and clinical laboratory history, insurers are able to make more precise underwriting decisions and help improve the consumer experience. By combining all of these elements, life insurers have a unique advantage and the ability to implement stronger mortality scoring based on underlying attributes.

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