Analyze real estate risks and make better credit decisions
Business benefits in finance and insurance
How real estate data is used in finance and insurance
Real estate data is used in the financial sector to analyze collateral, risks and portfolios in credit processes. Real estate information and geodata are used to:
- analyze collateral in credit processes
- assess risk in real estate and corporate portfolios
- identify geographical exposure
- analyze climate risks such as flooding and erosion
- valuing real estate and investments
- streamline credit and decision-making processes
- analyze climate risks such as flooding, erosion and other geographical risks
Example: Credit process in practice
A bank can use property information and geodata to:
- verify the property as collateral
- analyze the assessed value and history
- identify mortgages and rights
- analyze geographical risks
- assess portfolio exposure
The result is a more accurate credit decision and reduced risk.
Want to analyze real estate risks, collateral and portfolios in your business? See how real estate information is used in finance
Results you can achieve
With real estate data and geodata, you can
- make faster and more accurate credit decisions
- reduce risk in investments and portfolios
- get a better overview of properties and exposure
- streamline credit and decision-making processes
- work more data-driven across your organization
Fast & accurate property valuation gives Landshypotek a good basis for decision-making
Since 2017,Landshypotekhas also offered mortgages for single-family homes and in 2022 passed SEK 24 billion in mortgages to customers across the country.
- "When we started with mortgages, the whole point was to create a digitized, simple and transparent solution for customers," says Lillemor Andersson, who works with valuations at Landshypotek.
Read the full article here.