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Optimizing Customer-Facing Analytics with Luzmo and ClickHouse
技术
- 分析与建模 - 边缘分析
- 基础设施即服务 (IaaS) - 云数据库
适用行业
- 建筑物
- 水泥
用例
- 楼宇自动化与控制
- 施工管理
服务
- 系统集成
挑战
软件应用程序生成数 TB 的数据，可用于做出明智的决策。然而，将这些数据转化为用户的视觉洞察可能是一个挑战。在 SaaS 中提供分析的任务有两个：为最终用户提供易于使用、交互式和个性化的体验，并快速、轻松地构建具有定制可视化的连贯且高性能的数据架构。分析越先进，开发人员维护起来就越困难。此外，数据安全也很复杂，确保每个用户只能访问他们的个人数据。挑战在于如何将定制的洞察扩展到数百甚至数千个用户。
关于客户
TEIMAS 是一家构建废物管理解决方案的软件公司，三年多来一直使用 Luzmo 进行面向客户的分析。他们的平台后端运行在 MySQL 上，但随着他们处理更多数据，他们觉得需要像 ClickHouse 这样的单独的分析数据库。 Teimas 首席技术官 Iago Elizechea 表示，他们需要直接连接到分析数据库，以提高仪表板的速度并确保整个平台的性能。他们选择 ClickHouse 是因为它的可访问性和惊人的性能，特别是对于某些类型的查询。
解决方案
这些挑战的解决方案是使用嵌入式分析工具，该工具将面向非技术用户的易于使用的 UI 与面向开发人员的强大且一致的 API 结合起来。 Luzmo 是一个嵌入式分析平台，允许使用一段代码将个性化报告和仪表板、交互式探索以及快速加载仪表板注入到平台中。 Luzmo 强大的 API 允许开发人员将 Luzmo 的分析直接插入他们的平台，重新使用软件内部已内置的任何身份验证或业务逻辑。这加快了开发周期，同时保留了对分析功能集的完全控制。 ClickHouse 是一种以聚合为设计理念的列式数据库，为面向客户的临时聚合和分析提供了高性能且可扩展的数据库解决方案。
运营影响
数量效益
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