Geoplan mapping data provided the flood risk insurer with most accurate UK Postcode data on the market, giving them the ability to create flood maps, catastrophe models and analytics, used by some of the world's largest insurers.
Find out moreInsurance against flood risk is a high stakes business, where data integrity, provenance, and accuracy, are critical to delivering good customer service and business success.
Our client produces flood maps, catastrophe models and analytics, used by some of the world's largest insurers, reinsurers, governments and property companies, to quantify and mitigate flood risk.
Highly detailed and accurate Postcode polygon data frameworks are fundamental to this type of analysis and modelling.
This is where Geoplan excels, as the de facto industry standard, for the supply and maintenance of these data frameworks in the UK.
“Geoplan has consistently provided high quality data, on time and budget, without any issue, for over 15 years”
Geoplan are the owners of the industry standard digital Postcode boundary data file for the UK. We were the first company to develop full digital UK coverage of Postcode Boundaries and have consistently maintained this Postal geography for over 39 years.
We have supplied this critical data set to both Royal Mail, in support of daily postal operations and to Ordnance Survey, as a key service and component provider, in building both Addressbase and latterly Codepoint Unit Polygons.
It is these skills and capabilities that are relied upon, as part of the key fabric of our client’s industry leading product suite, dating back to 2009.
Increased revenue per field sales person by 20% - through increasing the number of visits a person could make, and providing a more balanced workload.
Geoplan worked with Ordnance Survey to create and maintain a highly accurate Postcode geography based on OS Address location data.
Due to increased demand on the Postcode system, Royal Mail turned to Geoplan to help them convert the Postcode boundaries from paper map form into a digital file.
