Learnerbly 使用 Fivetran 实现数据集中和高效的旅程
技术
- 应用基础设施与中间件 - 事件驱动型应用
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 建筑物
- 教育
适用功能
- 采购
- 销售与市场营销
用例
- 运动预测
- 时间敏感网络
服务
- 系统集成
- 培训
关于客户
Learnerbly 是一个学习和发展市场，为员工提供访问 200 多个最佳学习内容提供商的机会。他们的平台根据个人喜好促进个性化学习，与其他解决方案相比，工作场所学习的参与度提高了 3 倍。该公司最近完成了 A 轮融资，并正在为 B 轮融资做准备。他们设定了两个主要目标：利用数据来增加收入，以及优化和修复工程流程以提高效率。然而，他们在管理和利用数据方面面临挑战，这些数据分散在不同部门。
挑战
Learnerbly 是一个学习和发展市场，在管理和利用其数据方面面临着重大挑战。该公司没有专门的数据组织，导致数据分散在不同部门。由于缺乏一致的事实来源，因此很难比较和证实不同来源的记录。连接跨数据源的记录也是不切实际的，这削弱了他们在整个生命周期中有效服务客户的能力。此外，工程师经常从产品开发转向数据操作。该公司需要更好地访问和控制其数据，以扩展和吸引企业客户，这些客户拥有更多的员工人数，并且对采用新平台的投资回报率的可见性有更严格的要求。
解决方案
Learnerbly 聘请 Nick Cameron 作为其新数据架构团队的第一位成员。 Nick 的任务是作为一个团队大规模支持业务部门的数据需求，而无需设计定制解决方案。他选择了 Fivetran，这是一种完全托管的数据移动方法，小团队只需最少的工程投入即可使用。 Fivetran 提供了广泛的连接器，包括 Lite 连接器产品，例如 Chargebee，这是 Learnerbly 的重要财务数据来源。 Fivetran 还与 dbt Core™ 进行了深度集成，包括强大的开源数据模型库。这使得 Nick 能够将大部分数据移动工作流程集中在一个平台上。借助 Fivetran，Learnerbly 能够自动提取、加载和转换数据，打破部门孤岛并创建单一事实来源。
运营影响
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