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Precisely > 实例探究 > Large Regional U.S. Bank Enhances Customer Profiling to Combat Financial Crimes

Large Regional U.S. Bank Enhances Customer Profiling to Combat Financial Crimes

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公司规模
Large Corporate
地区
  • America
国家
  • United States
产品
  • Precisely Spectrum Entity Resolution
技术栈
  • Self-generated
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
技术
  • 应用基础设施与中间件 - 数据交换与集成
适用行业
  • 金融与保险
适用功能
  • 商业运营
用例
  • 补货预测
服务
  • 系统集成
关于客户
The customer is a large regional U.S. bank with a history of over 100 years, serving consumers and businesses across more than a dozen states. Known for its acquisitive growth strategy, the bank has built a reputation for top-tier customer service. It operates in a highly regulated environment, requiring compliance with anti-money laundering (AML) and Know Your Customer (KYC) regulations. The bank's operations span various lines of business, necessitating a robust system for managing customer data and transaction monitoring to prevent financial crimes.
挑战
A large regional U.S. bank faced regulatory scrutiny due to insufficient management of KYC requirements and failure to report suspicious activities. The bank's account-centric approach to transaction risk assessment led to an overly alarmist transaction monitoring system. This approach failed to provide a consolidated view of individual customer risk across multiple accounts, resulting in investigators being overwhelmed by false alerts while real threats went undetected.
解决方案
The bank implemented Precisely Spectrum Entity Resolution to consolidate customer data across all accounts associated with an individual. This solution integrates with the bank's existing systems, providing a holistic view of each customer by consolidating data from CRM systems and other databases. The system identifies relationships across accounts, including beneficial ownership and associations with shell companies. This comprehensive customer view is fed into the bank's screening and transaction monitoring systems, enabling better risk profiling and customer segmentation.
运营影响
  • The bank's transaction monitoring systems now isolate high-risk customers more effectively, reducing false positives and focusing investigative resources on genuine threats.
  • Improved customer risk profiling and segmentation have increased confidence among bank managers in identifying and reporting financial crimes.
  • The solution supports the bank's compliance efforts, helping to mitigate challenges and reduce compliance costs.
  • The bank's legacy software environment was typical, with transaction monitoring systems generating a high number of false positives, which the new solution addresses.
数量效益
  • The proportion of false positives in transaction monitoring systems is estimated to be between 95% to 98%, with the new solution expected to significantly reduce this number.

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