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。
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