Multiple areas covered
Our modular business data solutions are developed in conjunction with our banking partners. This enables us to target specific business use cases and to hone in on the needs of the banking and financial services sector.
Drawing on more than 7 years of experience with big data technologies, we’re able to process client transactions in real time. The patterns we discover in the data enable us to provide data solutions to the challenges seen in risk, marketing, fraud and IT.
This previous work benefits our clients, because we are deeply aware of the challenges faced in the banking sector, and the solutions that will have the most positive, most rapid impact. Having implemented our modular solutions with multiple banks, we have refined our process to ensure a smooth, straightforward experience for our customers.
Our team is used to working with both non-technical and tech-focused managers in banking and finance, and can therefore give department-specific explanations of the artificial intelligence and machine learning used in our advanced modelling methods.
Cloud-ready and targeted to specific business needs
Developed in cooperation with experts from banks
Monitoring and detection based on real-life banking data
Processing client transactional data in real time
Using big data and machine learning models
Smart Pricing Profitable product offers
Using smart pricing to create profitable loan offersLearn More
Credit Risk Monitoring Loan default prediction
Predicting and preventing loan defaults with proactive credit risk managementLearn More
Our modular solutions are just one way of working with us.
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Related use cases
Raiffeisenbank Data-driven campaign targeting
Thanks to Profinit’s AcceptAI, Raiffeisenbank CZ achieved a 6-fold improvement in call centre conversion rates based on customer behaviour.Learn More
Amplifi Capital Increasing acceptance rate through machine learning
Profinit delivered a behavioural model that resulted in a 30% increase in the loan-offer acceptance rate of a digital channel.Learn More