Portfolio Peril Review
Optimize the identification, pricing and management of peril risk for single family homes.
LexisNexis® Portfolio Peril Review (PPR) is a geographically based solution that enables a carrier to segment, analyze and optimize the universe of single family homes across the U.S. at the peril level. This allows underwriters to synthesize business intelligence and enhance their decision-making capabilities to support the growth and profitability of their books of business.
- Analyze the historical view of unanticipated losses at the peril level.
- Gain access to industry losses to prepare to enter a new state.
- Optimize your underwriting criteria for assignment of interior and exterior property inspections.
- Increase fraud capability after a weather event (e.g., hail).
- Conduct a portfolio review to work with reinsurers.
- Improve distribution management through optimized agent placement.
- Understand the PML impacts in an area and the pricing to build surplus to address future losses.
- Property claim information incorporated from a database of over 96% of all claim losses that have occurred in the Homeowners market
- Peril-specific claim analysis:
- 30+ perils, including catastrophe and non-catastrophe claims
- Nationwide and/or state analysis delivered on a quarterly basis
- Content delivered in three-, five- or seven-year datasets
- How is the data aggregated?
- Statistical Geographical Link (SGL):
- A geo-block group is a U.S. Census-defined area which, by design, consists of a homogenous population
- Dynamic concept based on statistically significant geographical sample: Counties <-Tract <- Geo-group.
- Zip Code View
Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. This product or service aggregates and reports data, as provided by the public records and commercially available data sources, and is not the source of the data, nor is it a comprehensive compilation of the data. Before relying on any data, it should be independently verified.