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Atlan > 实例探究 > Elastic 的数据治理:Atlan 如何转变其数据实践
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Data Governance and Active Metadata Management: A Case Study on Elastic

技术
  • 基础设施即服务 (IaaS) - 云中间件与微服务
  • 传感器 - 自动驾驶传感器
适用行业
  • 建筑物
  • 水泥
适用功能
  • 质量保证
  • 销售与市场营销
用例
  • 库存管理
  • 时间敏感网络
服务
  • 系统集成
  • 培训
挑战
Elastic 在数据实践中面临挑战,包括多个事实来源、不一致的 BI 平台策略以及不同的定义。
关于客户
Elastic 是一家技术公司,为受人尊敬的组织提供搜索解决方案、应用程序支持和网络安全服务。他们拥有一支分散且多元化的团队。
解决方案
Elastic 将其数据治理策略与其文化结合起来,重点关注透明度、问责制和参与度。他们选择 Atlan 作为他们的主动元数据管理平台。
运营影响
  • The adoption of Atlan has led to several operational benefits for Elastic. It has helped the company address pipeline breakages and errors proactively, advancing Elastic’s principle of transparency and building trust with stakeholders. Atlan's integration with Jira and dbt has allowed the team to automate alerts, further improving efficiency. The tool has also helped Elastic identify the most and least used assets in their data warehouse, and the cost to execute queries, enabling them to optimize the performance and cost of their data estate. Looking forward, Elastic plans to drive ownership and accountability, drive adoption through personalization, and maximize the return on investment on critical data technology.
数量效益
  • Elastic spent roughly 4 weeks to integrate key data sources and invite a core set of users.
  • Elastic has been on the Atlan journey for 9 or 10 months, making significant strides across enriching data assets, defining terms, and utilizing automated lineage.
  • Elastic has had 572 Chrome Extension views, indicating growing engagement from end users.

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