构建数据仓库，快速提供业务洞察
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- CloverETL
技术栈
- Java
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
适用功能
- 商业运营
服务
- 数据科学服务
关于客户
MyPublisher 总部位于纽约，是一家领先的个性化照片应用程序在线零售商，可让消费者创造性地定制、共享、打印和保存数码照片。MyPublisher 为超过 500 万注册客户的活跃社区提供服务，它打印、制造和运送其销售的每一件产品。每年，它打印和运送超过 1.2 亿张照片。该公司使用 CloverETL 将制造和零售数据（例如订单信息、客户信息和电子邮件信息）提取到数据仓库中。数据仓库团队负责定期以有意义的方式提供数据。
挑战
MyPublisher 是一家领先的个性化照片应用程序在线零售商，在管理其零售和营销数据方面面临挑战。该公司希望将这些数据与网络流量和电子邮件数据紧密结合起来，以捕捉客户活动。然而，数据仓库团队面临的主要挑战是将公司中不同的数据源整合在一起。在引入数据仓库之前，MyPublisher 根本没有使用数据仓库——而是使用了临时报告和许多系统。这使得该公司很难深入了解业务活动并定期这样做。
解决方案
为了应对这一挑战，MyPublisher 引入了数据仓库并选择 CloverETL 作为其 ETL 工具。CloverETL 使 MyPublisher 能够无缝整合多个数据源，并允许它们将不干净或遗留的数据包含在混合数据中。MyPublisher 无需花费宝贵的时间编写脚本和实用程序，只需使用大量 CloverETL 图表和最少的编码即可实现其目标。CloverETL 服务器还帮助整合了公司的所有数据流程。MyPublisher 使用其调度和监控自动化从服务器运行转换，并使用 Designer 作为可视化前端。团队花了 3 到 4 个月的时间开发了第一个测试版，六个月内，数据仓库就全面投入运营并用于日常业务需求。
运营影响
数量效益
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