Automation of client’s risk assessment was possible with the use advanced analytics platform (AAP). AAP is a complete environment for data integration and advanced analytics. The platform includes the following features:

• Integration and visualization of data
• Extraction of predicting features
• Building scoring models
• Implementing models in production
• Monitoring of implemented models

Building and implementation of credit scoring models has been an important element of the implementation of advanced analytical platform (AAP) at Kasa SKOK. The Client acquired two complementary scoring models. One for ‘new’ and the other for ‘existing’ customers. Both models meet the requirements of the Polish Financial Supervision Authority (KNF). The variables used in the models are interpretable, statistically significant and stable.

Implementing effective sales support tools has been an important issue. Machine Learning (ML) was used for best possible accuracy and stability of predictive models. The algorithms support preparation of personalized offers and are very accurate in identifying Customers with the highest propensity to buy given financial products. The algorithms take into account a number of criteria, including the customer’s risk profile, cost of capital and the risk appetite of a financial institution.

Credit risk and sales support models are integrated so that only Customers with pre-approved risk profiles receive personalized offers.

In order to ensure the highest level of security and efficiency, top cloud technology was used. The platform includes the following features

• Customer authentication (video-identification with the use of national ID)
• Automation of credit application
• Automation of credit decision including credit scoring and personalized documentation
• Quick on-line credit decision