Fivetran 促进 Frontify 品牌平台的增长和效率
技术
- 基础设施即服务 (IaaS) - 云数据库
- 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
- 销售与市场营销
- 仓库和库存管理
用例
- 楼宇自动化与控制
- 时间敏感网络
服务
- 数据科学服务
关于客户
Frontify 于 2013 年推出，是一个云平台，通过将所有重要元素和利益相关者连接到一个地方来帮助公司发展品牌。该平台提供了一整套解决方案、工具、集成和模板，涵盖了品牌旅程的各个方面。作为最近一轮 5000 万美元融资的一部分，Frontify 致力于进一步推进其技术并增强其分析能力，这是其使命的核心。该公司的数据团队已发展到四人，目前主要专注于数据工程和分析。
挑战
Frontify 是一个帮助公司发展品牌的平台，在为其数据构建单一事实来源方面面临着重大挑战。该公司需要了解人们如何与其平台互动，以优化用户体验和资源分配。然而，他们的数据分析团队规模较小，数据基础设施不稳定。他们依靠自定义 Python 脚本将数据从业务应用程序提取到 MySQL 数据库中，这通常会导致数据缓慢且不完整。他们的 BI 工具用户不友好且速度慢，导致员工不愿意使用它。数据团队承担着更新报告和仪表板的任务。为了解决这些问题并真正实现数据驱动，Frontify 需要一个可扩展且强大的数据堆栈，可供所有人访问。
解决方案
Frontify 的数据团队评估了现代数据堆栈组件，以找到最适合其业务的解决方案。由于其连接器范围、加密处理、易用性和转换功能，他们选择 Snowflake 作为数据仓库供应商，并选择 Fivetran 作为自动化 ELT。 ThoughtSpot 被选为他们的商业智能工具，使用户能够直接处理他们的数据。从 MySQL 数据库过渡到新堆栈涉及在 Snowflake 中构建原始数据层，其中包含 Fivetran 数据源和自定义 ETL 脚本。创建了一个数据集市，用于报告和分析，并在顶部提供“自助”搜索驱动分析。 Fivetran 连接器现在从各种来源向 Snowflake 提供数据，包括用于销售和营销的 HubSpot 以及用于经常性收入的 Zuora 和 Recurly。新的数据基础设施改变了数据团队的角色，使他们能够专注于数据工程和分析，而不是手动构建和修复数据管道。
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