提高数据一致性和可发现性：邮差的旅程
技术
- 分析与建模 - 数据挖掘
适用行业
- 水泥
用例
- 沉浸式分析
- 时间敏感网络
服务
- 系统集成
关于客户
Postman 是一家拥有数百名团队成员的公司，分布在四大洲，来自 50 万家公司的超过 1700 万用户使用其 API 平台。他们希望实现数据访问民主化，并确保公司中的每个人都可以访问数据并从中获得见解。
挑战
随着公司及其数据团队的扩展，Postman 面临着数据一致性和可发现性方面的挑战。数据的不同位置和版本导致了数据的混乱和不信任。
解决方案
Postman 实施了多种解决方案来应对挑战。他们首先在 Confluence 文档中记录数据，以创建可搜索的事实来源。他们还在 Google Sheets 中创建了数据字典，但面临着低质量文档和可扩展性的挑战。最后，他们采用了 Atlan，这是一个预构建的数据工作区，它提供了数据目录并改进了数据发现和一致性。
运营影响
数量效益
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