捷蓝航空利用 Fivetran 和 Snowflake 进行实时分析转型
技术
- 功能应用 - 计算机化维护管理系统 (CMMS)
- 基础设施即服务 (IaaS) - 云数据库
适用行业
- 建筑物
- 水泥
适用功能
- 维护
- 仓库和库存管理
用例
- 资产健康管理 (AHM)
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
捷蓝航空是一家大型航空公司，为乘客提供飞往美国、拉丁美洲、加勒比海地区、加拿大和英国 110 多个城市的航班。该航空公司平均每天运营 900 多个航班。每个人、每个飞机和每个旅程都会生成数据点，这些数据点可以揭示客户情绪、为收入预测提供信息、帮助预测燃油消耗、规定飞机维护并提供对运营准备情况的重要洞察。该航空公司在管理和分析来自 130 个不同系统的大量数据方面面临着挑战。
挑战
捷蓝航空是一家大型航空公司，每天运营 900 多个航班，飞往 110 多个城市，该航空公司正在努力应对管理和分析其运营产生的大量数据的挑战。每个人、每个飞机和每个旅程都会生成数据点，这些数据点可以提供有关客户情绪、收入预测、燃油消耗、飞机维护和运营准备情况的见解。然而，来自 130 个不同系统的数据量巨大且难以组织。该航空公司需要一种能够集中这些数据的解决方案，以便可以轻松地进行分析和决策。面临的挑战是将所有这些数据快速准确地整合到一个平台中进行分析。
解决方案
捷蓝航空决定使用 Fivetran 和 Snowflake 构建一个基于云的现代化数据堆栈。 Fivetran 的管道工具使捷蓝航空能够将数据从多个来源移动到其 Snowflake 数据云。这使得数据工程团队能够快速访问分析用例的信息，并显着减少手动构建数据管道所需的时间。捷蓝航空的 Snowflake 数据仓库现已包含超过 115TB 的数据，并且可以随时使用新数据进行分析。该航空公司还构建了一套自助分析产品，供许多工作组的分析师和领导者使用，以提供有意义的见解。例如，捷蓝航空使用 Fivetran 的 Qualtrics 连接器将 Qualtrics 客户调查数据集成到 Snowflake 中，使该航空公司能够更好地了解其客户并增强他们的体验。
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