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Hunt, Gather Accelerates Operational Insights by 95% with Fivetran
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 水泥
- 设备与机械
适用功能
- 产品研发
- 销售与市场营销
用例
- 实时定位系统 (RTLS)
- 时间敏感网络
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
Hunt, Gather 是一家总部位于奥斯汀的创意机构，其报告工具有限，阻碍了他们与客户共享深度绩效数据的能力。该机构迫切需要一种整体方法来报告其数字营销工作。他们需要一套工具来收集和分析数据，并最终生成关键见解，所有这些都在一个位置完成。开发团队此前曾自行构建过一些管道，但这些管道既耗时又昂贵。内部构建管道可能需要长达六个月的时间，而且该团队还在 ELT 平台上花费了大量资金，但事实证明这些平台效率低下。
关于客户
Hunt, Gather 是一家女性拥有的创意机构，总部位于德克萨斯州奥斯汀。该机构专门为 Chipotle、Burger King 和 GNC 等品牌建立创意活动网站。他们与需要高度定制数据报告的各种客户合作。该机构一直面临着一个令人沮丧的问题：有限的报告工具使他们无法与客户分享深入的绩效数据。他们需要一种解决方案，使他们能够开发一种整体方法来报告其数字营销工作，并在一个位置提供关键见解。
解决方案
该机构发现了 Fivetran，这是一种现代数据堆栈，它提供了一种更快、更简单且更具成本效益的方式来构建管道和连接多个数据源。借助 Fivetran 连接器，该团队能够在不到一天的时间内将多个源与 BigQuery 连接起来，而这一过程以前需要花费数月时间。该团队还发现，与之前使用的 ELT 平台相比，他们使用 Fivetran 节省了更多资金。 Fivetran 在内部实施，将管道开发时间从整整一个月缩短到一天。该团队能够构建 SQL 模型并快速连接数据，在几分钟内获得见解。他们还在时间跟踪软件和 Google Sheets 之间建立连接器以进行内部报告，实现流程自动化并消除手动数据输入。
运营影响
数量效益
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