Early Warning Description
A customer initiates a new account application through various channels, such as in-person at the branch, online, via mobile apps, or through the contact center. Early Warning assesses the probability that the customer is genuine by utilizing our top-notch banking data. This allows for real-time evaluation of identity validity, enhancing the detection of synthetic and altered identities. Additionally, Early Warning forecasts the likelihood that a customer may experience default due to first-party fraud within the initial nine months after opening an account. By applying predictive intelligence, we gain deeper insights into customer behavior. The system also estimates the risk of default stemming from account mismanagement during the same timeframe. Based on these assessments, applicant privileges can be customized to match your institution's risk tolerance. Harnessing real-time predictive analytics facilitates more informed decision-making. This approach not only broadens access for more customers to the conventional financial system but also helps manage risk levels, which could lead to an increase in potential revenue. Ultimately, balancing risk management with customer inclusion is key to fostering a healthier financial ecosystem.
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