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BayesCredit

Financial institutions that can accurately predict credit default risk have an enormous competitive advantage.
BayesCredit predictive analytics solution assesses and identifies the risk that a customer will default on their loan,
providing confidence and peace of mind to lending institutions of all kinds.

BayesCredit

BayesCredit is a best-practice analytics solution that enables finance institutions to accurately assess, identify and manage credit default risk to make the best possible lending decisions.

Solid credit risk analysis requires more than just a credit report. BayesCredit assesses the risk of credit default in real-time based on multiple sources of information: historical lender data, input from credit experts, and other information that is missing or uncertain but has an important impact on the credit assessment puzzle.

Our unique solution has been approved by Basel regulators as an advanced method for risk reporting, and in a benchmark test carried out by Standard and Poors, BayesCredit outperformed S & P’s own risk models when using the same input data.

Key advantages of BayesCredit:

Flexible risk models can be tailored to needs of individual users

Combines multiple sources of information: input from experts, historical data and uncertain information.

Computes with incomplete observations.

Calculates risk in real time

Straight forward model integration

Models can be changed and extended with minor effort.

Learn more about BayesCredit and how it has helped a major mortgage lender solve its risk challenges, improve business productivity and achieve regulatory compliance by reading the Whitepaper below.

BayesCredit White Paper

Learn more about BayesCredit in our White Paper.

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  • Products
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