Without data filtering, UBI driving scores can vary by up to 47 percent.
 

Complimentary White Paper

Data Quality is King: Key Considerations for Usage-Based
Insurance Apps


Many US carriers are actively pursuing usage-based insurance (UBI), with the aim of deriving a simple, digestible driver score that is demonstratively related to loss propensity. Over the past year or so, they have considered different ways to collect UBI data, many of which have proven to be very expensive. As a result, standalone smartphone apps have emerged as the most cost-efficient way to obtain UBI driving data. However, while many UBI apps look similar, they differ dramatically on the backend. Crucially, the success of UBI driving scores hinges on obtaining accurate data, which can be difficult to achieve due to the noisy data that smartphones can produce. In order for carriers to reap the benefits of app-based UBI-based risk assessment, rating and pricing— and for customers to agree to share their personal information—there must be assurance that UBI driving scores are correct.

Download this white paper to learn about key considerations for UBI apps, drawn from experience in 47 telematics implementations and pilots completed by LexisNexis® over the past three years. Topics of discussion include the importance of:


  • Filtering and validating UBI data to ensure its accuracy and reliability
  • Applying handset-specific rules to account for phone variances
  • Augmenting UBI data with maps and road speed limits to derive context and meaningful insight
  • Accurately determining when a user is driving (and by extension, not driving)

Submit the form on the right to download this white paper.





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