Determine client risk using Data Science and gain new knowledge from client data in near real-time.
Are you truly getting the most out of large transaction volume and log data? Do you know how to comprehensively assess risk? Are you using all risk reduction procedures? At Adastra, we know how to make it happen.
Determine client risk
Do you need to know in advance the probability of premature repayment/non-payment of loans (credit scoring) or the probability of fraud (fraud detection)? With us, you won’t sign any more contracts with high-risk clients.
To determine risk, we use advanced analytics techniques from the fields of Data Science and Machine Learning. Based on historical data using past clients who have left, defaulted, or committed fraud, you can set behavior patterns for each and every new client, their probability of leaving, default, or even fraud.
We work with data that has been generated by the client’s financial behavior and derive useful knowledge from it – all in near real-time. We primarily focus on:
- Behavioral fraud analysis (internal and external fraud detection).
- Predictive risk modeling (risk prediction), credit scoring.
- Share of wallet.
Would you like to get a solution customized to the needs of your company? Contact us today.
One quarter of the more than 3 million clients of banks and other financial institutions had loan agreements open in 2018.
Get more info today, start implementing tomorrow.
We will contact you as soon as possible.