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Alteryx > 实例探究 > 美国银行利用物联网改变监管测试
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Bank of America's Transformation: From Reactive to Real-Time Regulatory Testing

技术
  • 分析与建模 - 实时分析
适用行业
  • 金融与保险
适用功能
  • 质量保证
用例
  • 实时定位系统 (RTLS)
  • 监管合规监控
服务
  • 云规划/设计/实施服务
  • 测试与认证
挑战
美国银行企业测试团队的主要目标之一是确保向所有监管机构通报任何适用的交易。鉴于 BoA 每分钟发生数百万笔交易,手动准备和清理这些用于 QA 的数据是一个极其缓慢的过程。直到交易发生两个月后,团队才可以放心,相关监管机构已收到通知。如果系统中出现任何问题并需要纠正,这种延迟的反应使美国银行很容易受到昂贵的监管罚款。
关于客户
美国银行为个人、公司和机构投资者提供他们所需的金融产品和服务,帮助他们实现人生各个阶段的财务目标。
解决方案
美国银行构建了一个自动化数据生态系统,其中包括用于数据工程的 Designer Cloud 以及用于可视化分析的 Tableau、Qlik 和 MicroStrategy 的组合。该数据堆栈创建了一个简化的工作流程,如果美国银行需要对任何监管措施采取纠正措施,则可以实时发出警报。 Trifacta 开发的自动化配方根据命令处理来自各种来源的数据,然后确定这些数据“通过”或“未通过”某些监管标准,然后在监管监控仪表板中显示。如有必要,团队可以轻松共享这些 Designer Cloud 方案以实现监管透明度或进行快速修改。
运营影响
  • The implementation of the automated data ecosystem has brought about significant operational improvements for Bank of America. The bank has been able to transform its regulatory quality assurance process from being reactive to proactive. This means that the team no longer has to wait for one to two months for results, but can address issues as they occur. The real-time data preparation has improved the quality of data and ensured that the bank can mitigate risk by correcting any potentially costly mistakes. Furthermore, as banking regulations become stricter and more complex, the bank can easily scale its workflows to meet new demands. The automation allows for exponential growth, making the system highly scalable.
数量效益
  • 20% annual savings on resources
  • 2 months saved on regulatory quality assurance (QA) processes
  • 99.94% reduction in test development time, from 1700 hours to 1 hour

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