Embrace Home Loans 利用 DataRobot Zepl 将其营销投资回报率 (ROMI) 提高一倍
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- DataRobot Zepl
技术栈
- Snowflake
- Python
- SQL
- Jupyter notebooks
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 分析与建模 - 预测分析
适用行业
- 金融与保险
适用功能
- 销售与市场营销
用例
- 质量预测分析
- 需求计划与预测
服务
- 数据科学服务
关于客户
Embrace Home Loans 是一家知名的抵押贷款机构，为借款人和金融机构提供卓越的抵押贷款体验。该公司成立于 1983 年，总部位于罗德岛州米德尔敦，在美国全美 50 个州和哥伦比亚特区均拥有牌照。Embrace 曾七次被《财富》杂志评为美国最适合工作的中型公司之一，五次被《Inc.》杂志评为美国最适合工作的中型公司之一。该公司还曾十四次被《普罗维登斯商业新闻》评为罗德岛州最适合工作的公司之一、罗德岛州社区参与度最高的公司，并获得《普罗维登斯商业新闻》颁发的领导力卓越奖。
挑战
Embrace Home Loans 是一家知名的抵押贷款机构，在美国 50 个州和哥伦比亚特区均有执照，该公司希望优化其在数字和直邮渠道上的营销支出。该公司希望最大限度地提高营销支出，并增加所有营销渠道的收入。挑战在于在 Embrace 的整个运营规模上做到这一点，这是一项艰巨的任务。该公司需要一个可以管理数百个 Jupyter 笔记本并对数百万行数据运行 SQL 查询的解决方案。该解决方案还需要确保 Embrace 客户数据的安全，其中包括基于风险和基于标准的安全协议来保护所有数据。
解决方案
Embrace Home Loans 使用 DataRobot Zepl 对其 Snowflake 数据运行实时查询。DataRobot Zepl 允许团队对数百万行数据运行 SQL 查询，并在流程中减少步骤。他们可以构建复杂的模型，将它们作为 Python 中的对象存储，然后调用这些对象对 Snowflake 中的文件进行评分。DataRobot Zepl 和 Snowflake 的结合使 Embrace 的团队能够开发精确且不断发展的增强智能模型，以获得包含量身定制的预先批准的优惠的优化列表。贷方在数百万条记录中使用 1,500 多个功能来执行此操作。Embrace 根据信贷机构建立的样本开发模型，附加数据元素并创建因变量。当文件进入时，Embrace 对其进行评分和优化，去除姓名身份信息，购买数据，然后将姓名发送给执行合作伙伴。客户数据被加载到 Snowflake 联系历史记录中，使他们能够跟踪转化。
运营影响
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