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Incorta > 实例探究 > 增强数据科学与协作:红石联邦信用合作社案例研究
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Fast, Flexible and Autonomous Data Science at Redstone Federal Credit Union

技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 机器学习
适用行业
  • 水泥
  • 金融与保险
用例
  • 自主运输系统
服务
  • 数据科学服务
  • 系统集成
挑战
红石联邦信用合作社希望利用数据来获得对银行业务的更多可见性和控制力,但跨系统的分散数据阻碍了进展。
关于客户
Redstone Federal Credit Union 是一家拥有 1,001-5,000 名员工的金融机构,其数据科学团队领导着该信用社的机器学习工作。
解决方案
Incorta 提供了一个快速、灵活的统一数据和分析平台,使数据科学家能够独立组织和连接复杂的数据,而不会给 IT 带来负担。
运营影响
  • The deployment of Incorta has significantly improved Redstone Federal Credit Union's data science capabilities. The data science team can now move faster and innovate more freely with data as they no longer have to rely on the IT team. This has led to the creation of smarter predictive models and the provision of more timely, relevant, and useful data insights to teams across the organization. The unified data and analytics platform has also improved cross-team collaboration, making it easier for data scientists to partner with subject matter experts when investigating business questions and anomalies. Furthermore, the platform has empowered users to uncover new and unexpected insights to complex questions, such as the reasons for particular credit cards being inactive or a spike in fraud.
数量效益
  • Incorta was deployed in just a few days
  • Incorta pulled in 13 million records from Redstone's Fiserv core banking system in 43 seconds
  • Queries return results in sub-second response times

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