Snowflake + DataRobot 释放 Beacon Street Services 的数据价值
公司规模
1,000+
地区
- America
国家
- United States
产品
- Snowflake
- DataRobot
技术栈
- Snowflake
- DataRobot
- Rundeck
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 金融与保险
适用功能
- 销售与市场营销
用例
- 补货预测
服务
- 数据科学服务
关于客户
Beacon Street Services 是 Stansberry Holdings 的服务部门，为全球数百万投资者提供一流的订阅式金融信息和软件出版物。该公司总部位于马里兰州巴尔的摩。Beacon Street Services 是 Stansberry Holdings 的服务部门（也是少数几家附属公司之一），他们制作的金融出版物仅通过购买订阅即可获得。对于其营销和销售团队来说，这是一个改进以前销售订阅策略和流程的机会，为营销人员提供更清晰的反馈循环和信号，以优化他们的营销活动。
挑战
Beacon Street Services 是 Stansberry Holdings 的服务部门，为全球数百万投资者提供基于订阅的金融信息和软件出版物。该公司的愿景是，在 Snowflake 中拥有一个存放所有数据的单一真实来源，以确保这些数据在所有应用程序中的一致性和准确性。几年前，该公司从 AWS Redshift 迁移到 Snowflake，在 Snowflake 中收集并存储了大量数据。然而，该公司意识到将数据科学方法应用于这些数据很有价值，尤其是对其营销和销售团队而言。这是一个改进以前销售订阅的策略和流程的机会，为营销人员提供更清晰的反馈循环和信号，以优化他们的营销活动。
解决方案
该公司决定使用 DataRobot 的企业 AI 平台，利用数十种最新的尖端数据科学算法，快速自动地构建一系列模型。他们将 Snowflake 数据仓库中的历史用户数据加载到 DataRobot 中，团队能够快速自动地构建一系列模型。在现有流程和新的 Snowflake + DataRobot 方法之间运行 A/B 测试，新流程的效率提升了 10%。该平台还为团队节省了大量时间。以前，开发一个模型需要长达六周的时间，而且不能保证选择了最佳算法。借助 DataRobot，开发和部署使用更合适算法的模型的时间缩短至仅一周。
运营影响
数量效益
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