Engel & Völkers 利用 Fivetran 增强实时运营洞察力
技术
- 分析与建模 - 实时分析
- 功能应用 - 仓库管理系统 (WMS)
适用行业
- 设备与机械
适用功能
- 销售与市场营销
- 仓库和库存管理
用例
- 拣选/分拣/定位
- 实时定位系统 (RTLS)
服务
- 数据科学服务
- 系统集成
关于客户
Engel & Völkers 是一家著名的优质住宅地产、商业地产、游艇和飞机经纪商。该公司拥有 40 多年的经验，在 30 多个国家拥有 16,000 多名员工。 Engel & Völkers 专门从事豪华房产的销售和租赁并提供咨询服务。该公司重视能力、排他性和热情，而这些价值观越来越受到数据分析的推动。 Engel & Völkers 最有价值的资产是基于数据的见解，用于推动整个组织的决策和优化运营。
挑战
Engel & Völkers 是一家著名的优质住宅地产和商业地产经纪商，在整合各种数据源方面面临着重大挑战。该公司的数据工程团队被来自不同部门的数据集成请求淹没。创建定制解决方案来响应这些请求的过程是资源密集型的，导致任务的优先级和无法满足不断增长的请求数量。该公司迫切需要一种工具，可以减少集成新数据源所需的工作量并实现更快的数据集成，从而促进组织内更广泛地采用自助服务分析。
解决方案
Engel & Völkers 求助 Fivetran 来简化他们的数据集成流程。第一个 Fivetran 连接器在几天内就完成了安装，这项任务至少需要数据团队四倍的时间。该公司现在依靠超过 15 个 Fivetran 连接器进行数据集成。 Fivetran 主要用于三个用例：IT 运营洞察、自助服务分析和营销优化。对于 IT Operations Insights，来自项目管理票务系统 Jira 的数据用于衡量所有团队和项目的绩效、优化资源分配并提高生产力。对于自助分析，本地团队通过将 csv 文件添加到 Google Drive 文件夹来自行管理数据摄入，该文件夹会自动与数据仓库同步，从而使所有数据可用于 Tableau 中的分析。对于营销优化，来自至少六个不同营销渠道的数据被集成到数据仓库中，使营销团队能够执行精细的实时分析。
运营影响
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