Google Analytics 360 和 BigQuery 为 Skyscanner 提高效率和洞察力
公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
产品
- Google Analytics 360
- Google BigQuery
- Tableau
- Python
技术栈
- Google Analytics 360
- Google BigQuery
- Tableau
- Python
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
适用功能
- 销售与市场营销
- 商业运营
用例
- 实时定位系统 (RTLS)
- 质量预测分析
服务
- 数据科学服务
关于客户
Skyscanner 是一家全球领先的旅游搜索公司，提供全球航班、酒店和租车服务。该公司成立于 2003 年，每月通过其网站和移动应用程序帮助超过 4000 万人找到最佳旅行选择。该公司总部位于英国爱丁堡。Skyscanner 致力于更好地了解客户并优化其产品以提供最佳服务。
挑战
Skyscanner 是一家领先的全球旅游搜索公司，该公司希望更深入地了解匿名客户的行为。他们渴望深入挖掘数据，以获得更多洞察并进一步优化其产品。Skyscanner 希望深入了解特定市场、设备类型和营销渠道。此外，公司内的某些团队希望了解各个网站功能的性能。他们需要了解与特定功能的交互对转化率的影响程度。最后，该公司希望创建详细的群组，以了解用户在一段时间内如何与 Skyscanner 互动。
解决方案
Skyscanner 选择通过将 Analytics 360 与 Google BigQuery 集成来满足所有这些需求。这种集成已成为整个企业许多详细调查的起点。例如，分析师和工程师现在运行群组分析，以了解用户返回 Skyscanner 的频率，以及哪些渠道在客户旅程的哪个部分最有效。将 BigQuery 与 Tableau 和 Python 等工具结合使用还可以提供比以往更快的速度和效率。为了最大限度地降低成本，他们使用 Python 脚本自动聚合到新的、更小的表中，这些表的查询成本要低得多。
运营影响
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