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Coupa's Accelerated S3 Data Lake with Fivetran: A Case Study
技术
- 网络安全和隐私 - 入侵检测
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 金融与保险
适用功能
- 采购
- 仓库和库存管理
用例
- 行为与情绪追踪
- 牲畜监测
服务
- 云规划/设计/实施服务
- 系统集成
挑战
Coupa 是一家商业支出管理 (BSM) 公司,提供一个云平台,可数字化和整合各个部门的支出信息,从而创建有关支出行为的可行见解。然而,Coupa 面临着其平台和客户使用情况数据的挑战。数据是孤立的,阻碍了更好的洞察和决策。收集这些数据并将其提供给相关人员的过程非常复杂、成本高昂且占用大量资源。 Coupa 投资了一个数据团队来管理其数据,目标是将数据从各种来源提取到一个地方,以创建可操作的见解。然而,分析策略尚不成熟,并且主要由临时程序组成。如果用户体验设计师想知道客户如何与特定功能交互,他们必须要求工程团队从头开始构建脚本,这个过程可能需要数周时间。
关于客户
Coupa 是一家商业支出管理 (BSM) 公司,为世界各地的公司提供所需的可见性和控制力,以实现更智能、更安全的支出。其云平台对差旅和费用管理、采购和发票等方面的支出信息进行数字化和整合,从而创建有关支出行为的可行见解。作为软件即服务 (SaaS) 平台,Coupa 将行为数据与其他数据源相结合,以改善用户体验。 Coupa 的平台通过打破采购、财务、财务和供应链中的数据孤岛来帮助客户。
解决方案
为了应对这些挑战,Coupa 技术总监 Thomas Rasmussen 和高级工程师 Anna Lisboa 决定使用数据集成解决方案 Fivetran。 Fivetran 允许 Coupa 自动从各种数据源创建连接器。他们无需依赖工程师定制脚本来与 Salesforce 或 Netsuite 的 API 进行交互,只需在 Fivetran 控制台中输入凭据即可立即开始将数据提取到 Coupa 的数据仓库中。然后,数据分析师可以对数据进行转换,并创建可行的见解来为关键业务决策提供信息。通过 Fivetran 获取的数据,Coupa 内部的分析师现在可以提出基于数据的建议,以改进企业数字资产的功能和设计。产品工程师和用户体验设计师可以使用这些信息根据真实的交互和趋势来调整和改进体验。
运营影响
数量效益
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