- 专利标题: AUTOMATED RISK VISUALIZATION USING CUSTOMER-CENTRIC DATA ANALYSIS
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申请号: US17568684申请日: 2022-01-04
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公开(公告)号: US20220129806A1公开(公告)日: 2022-04-28
- 发明人: Alexander Maass , Ben Regev , Duncan Hoffman , Eugene Mak , Elise Norman , Elizabeth Patitucci , Yevhen Shevchuk , Harkirat Singh , Joshua Aschheim , Juan Jimenez Puig , Jorien Van Den Bergh , Kai Kamberger , Maciej Biskupiak , Marissa Miracolo , Matthew Julius Wilson , Nicolas Prettejohn , Patrick Walter , Rootul Patel , Stephen Heitkamp , Richard Deitch
- 申请人: Palantir Technologies Inc.
- 申请人地址: US CA Palo Alto
- 专利权人: Palantir Technologies Inc.
- 当前专利权人: Palantir Technologies Inc.
- 当前专利权人地址: US CA Palo Alto
- 主分类号: G06Q10/06
- IPC分类号: G06Q10/06 ; G06Q20/10
摘要:
A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.
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