Based on an Early Warning® production study in 2021, six financial institutions using Predict New Account Risk were alerted to over $171 million in potential first-party fraud during the year.
Predicts the likelihood that a consumer will default due to first-party fraud within the first nine months after account opening
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Predictive score
Predicts the likelihood that a consumer will default due to account mismanagement within the first nine months after account opening
✓ Data provided:
Predictive score
Summarized attributes add context to new account scores
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Summarized attributes
Application fraud has ballooned over the past two years and expected to increase, even as growth trends for other types of fraud are beginning to plateau.1
NEW ACCOUNT
OPENING FOR DDAS
CREDIT
USE CASES
GROW
YOUR CUSTOMER BASE
Approve more accounts by tailoring privileges to align with your risk threshold using our deposit account intelligence.
PROTECT AGAINST
NEW ACCOUNT LOSSES
Predict the likelihood of first-party fraud or account default within the first nine months of account opening using holistic scores and summarized attributes.
BALANCE RISK,
EFFICIENCY AND COMPLIANCE
Use insights in a manner that align with your account opening strategy—allowing you to reduce risk, while maintaining compliance and operational efficiency.
IMPROVE FINANCIAL INCLUSION
Gain insights and perspective required to confidently open your doors to a wider population of consumers.
Leverage 30 years of experience to enhance your new accounting opening strategy.
Early Warning is the Trusted Custodian® of the National Shared DatabaseSM Resource which contains a rich set of data, ensuring our information is always up-to-date.
Grow at your own pace! Access our capability bundles through a simple API. Implement once – and quickly deploy additional capabilities in a snap.
Our risk assessment algorithms incorporate comprehensive, cross-institution data sets, adding depth and perspective to insights.
Early Warning is the Trusted Custodian® of the National Shared DatabaseSM Resource – which contains a rich set of deposit performance data contributed by more than 2,500 financial institutions including banks like:
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