一家航空公司借助 Google Data Studio 实现腾飞
公司规模
1,000+
地区
- Europe
国家
- Latvia
产品
- Google Data Studio
- Google Analytics 360
- Google AdWords
技术栈
- Data Analytics
- Data Visualization
- Data Aggregation
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
- Revenue Growth
技术
- 分析与建模 - 数据即服务
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 航天
适用功能
- 商业运营
- 销售与市场营销
用例
- 实时定位系统 (RTLS)
服务
- 数据科学服务
关于客户
airBaltic 是一家总部位于拉脱维亚的混合型航空公司，提供飞往 60 多个目的地的航班。该公司将传统网络航空公司的最佳实践与超低成本航空公司的节省相结合。由于数据分散在不同的专有系统中，airBaltic 的数据和分析策略面临挑战。这使得该公司难以做出数据驱动的决策。该公司还花费了大量的时间和投资来从不同的数据系统生成报告。跨团队和第三方机构共享信息也是一个挑战。
挑战
拉脱维亚的一家区域性航空公司 airBaltic 面临着数据和分析策略方面的挑战。该公司的数据被孤立在单独的专有系统中，例如预订平台和收益管理工具。这使得该公司难以做出数据驱动的决策。此外，该公司花费了大量的时间和投资来从不同的数据系统生成报告。跨团队和第三方机构共享信息也是一个挑战。airBaltic 的高管认识到变革的必要性，并试图简化其在 Google（AdWords Performance、Bigquery 拉取）和内部系统中的所有不同数据源。
解决方案
airBaltic 决定利用 Google Data Studio 来简化其数据和分析策略。该公司已经在使用 Google Analytics 360 来衡量其营销活动的有效性，但 Data Studio 允许他们整合所有不同的数据源并可视化他们的见解。这使他们能够始终如一地做出更明智的数据驱动决策。Data Studio 允许 airBaltic 设置一个单一的“事实来源”仪表板，内部团队和外部合作伙伴都可以安全地使用。这有助于每个人都遵守相同的 KPI、目标和定义。此外，Data Studio 的自动报告节省了员工的时间，并消除了手动数据提取、聚合和可视化的需要。
运营影响
数量效益
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