Software for data analysis and accurate forecasts.

"In the motor insurance sector, we have millions
of data records at our disposal. Blue Yonder uncovers interconnections
that we would otherwise have struggled to identify."
Heinz Ohnmacht, Chairman of the Board at BGV

Industries | Financial Services

Individual risk surcharges and tariffs
for specific 
target groups

The more accurately banks and insurance firms are able to predict risks, the more they are able to offer attractive tariffs and credit conditions. An attractive and risk-aligned portfolio helps them to increase their turnover.


Insurance industry: Optimizing tariff systems through accurate claims forecasts.

Different target groups are associated with different risks. Using NeuroBayes helps you to assess these risks realistically. You are then able to use your findings as a basis for individual tariffs, offering your customers competitive conditions whenever needed.

 

Banks: Forecast individual credit default risks and set risk surcharges with great flexibility.

In order to determine credit default risk, our Predictive Analytics Suite analyzes every piece of data gained from operational systems and external sources. Credit managers can use this percentage default probability to accurately estimate whether or not a credit can be granted. If needed, the software is also able to calculate a risk surcharge for the specific case in question. 

 

Financial institutes can use NeuroBayes to justify their scoring.

The German Federal Data Protection Act (BDSG) restricts the usage of microgeographic and socio-demographic data for customer scoring. Taking nationality into account is strictly prohibited, and the consideration of gender, place of residence, marital status and age are also in dispute. Our predictive analytics software allows banks and insurance companies to make risk-based decisions. Furthermore, they are also in a position to justify these decisions whenever needed.
 

“We provide Blue Yonder with our entire data and they then use an abundance of factors to reliably identify correlations for clearly defined target groups. For instance, we were one of the first providers to include the age of the vehicle at the time of purchase into the tariff system process. Since then, NeuroBayes has been able to uncover even more important features for our pricing processes, meaning we are now able to offer tariffs that are incredibly client-specific.”

Heinz Ohnmacht, Chairman of the Board at BGV/Badische Versicherungen


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