Quality Data. Speedy Delivery. Improved Assessment.

Big Data and Technology Disrupt the Insurance Industry

The insurance industry is evolving.  Property and casualty insurance now benefit from risk models that analyze huge and diverse data sets. Catastrophe insurance is able to model risk levels with much more accuracy and is rising in demand following the impacts felt in 2017. Technology has created peer-to-peer scenarios like property rentals requiring on-demand insurable perils.  Industry-wide, advances in big data are revamping the way risk assessments are created and used.

ATTOM fuels the migration to data-driven risk mitigation with one of the most comprehensive data warehouses available to the insurance industry.

The Insurance Industry’s Emerging Markets

Branching out from the typical homeowner’s insurance policy, new influencers and platforms are emerging in the insurance industry, which all look for big data to provide the most comprehensive and accurate assessment of a property.

Emerging Markets Include:

Agencies and brokerage

Agencies or brokers who represent one or more insurance companies and write policies for specific circumstances.

Application workflow

Technology firms that build platforms or applications supporting workflow, better user experience, interactivity or end customers’ policy management.

Underwriting risk assessment

Underwriters who assess risk for insurance companies and pay claims when they are filed.

Data analytics

Analytics firms that ingest and crunch data to determine type and levels of risk that influence the way insurance companies may quote or write policies.

Enhanced Data and Technology Improves Insurance Industry

Improved Analysis

  • Claims frequency analysis
  • Adverse selection reduction
  • Streamline inspection and loss/control decisions

Improved Processes

  • Better underwriting processes
  • Improved tier placements
  • Eligibility lines optimization
  • Deduction creation

Enhanced Marketing

  • Improve your ability to identify and market to targeted prospects.
  • Increase conversion rates with relevant property-specific content.
  • Facilitate easier conversion with form pre-population. 

How Can Insurance Companies Use ATTOM?

Insurance Marketing

Insurance Marketing

With detailed property characteristics, data insurance companies can target specific regions and identify prospects that align with their policy coverage to market accordingly.

Lead Aggregators

Lead Aggregators

Grow revenue stream by leveraging property data for targeted marketing, identification of good referral partners and providing improved service.

Homeowner Insurance Underwriting

Homeowner Insurance Underwriting

Improve the underwriting process from lender verification to property risk assessment and owner verification to property valuation.

Renter’s Insurance Underwriting

Renter’s Insurance Underwriting

Enhance risk assessment and verification processes by leveraging property/assessor data along with neighborhood/crime demographics.

Landlord Insurance Underwriting

Landlord Insurance Underwriting

Find ideal properties through improved verification and risk assessment processes leveraging property-centric data and risk/neighborhood demographics.

Catastrophe Insurance Underwriting

Catastrophe Insurance Underwriting

Helping our clients innovate the way risk assessment is handled with natural hazard data, property valuations, and public records.

ATTOM Client Case Studies

See how our customers are using ATTOM to fuel their innovation and growth.

dimont logo

DIMONT has nearly tripled productivity for processing flood insurance valuations by leveraging property data to automate parts of the process, allowing its internal subject matter experts to focus on what they do best.

Read Their Story

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