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Postcode data for insurance risk modelling

AON uses Geoplan Postcode data for predictive insurance risk modelling and R&D tools, covering 1.8 million postcodes.

  • 0+

    Years of partnership

  • 0m

    Postcodes covered

  • 0

    Data updates per year

The Challenge

AON required reliable, accurate postcode data for internal predictive insurance risk modelling and R&D tools. Data consistency, reliability, and integrity were critical for quantifying risk levels and future-proofing their business.

Our Solution

Over 25+ years, Geoplan has provided quarterly postcode data updates for AON's risk modelling systems. The solution covers 1.8 million postcodes with consistent, reliable data supply ensuring data integrity for critical insurance calculations.

Results Achieved

Through our partnership with AON, we were able to deliver measurable improvements across their operations:

  • Future-proofed AON's business operations
  • Accurate risk level quantification enabled
  • Consistent, reliable data supply for 25+ years
  • 1.8 million postcodes covered

Partnership Success

This case study demonstrates how location intelligence can drive measurable business outcomes. By partnering with AON, we delivered solutions that not only met their immediate needs but also provided a foundation for continued growth and optimisation.

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