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实例探究 > Auto Trader 的数字化转型之旅:利用数据取得成功

Auto Trader's Digital Transformation: Leveraging Data with Looker and Google Cloud

技术
  • 分析与建模 - 机器学习
  • 功能应用 - 仓库管理系统 (WMS)
适用行业
  • 汽车
  • 零售
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
  • 零售店自动化
服务
  • 云规划/设计/实施服务
  • 培训
挑战
Auto Trader 需要对其技术堆栈进行现代化改造、集中数据并提供对可信指标的自助访问,以便使关键利益相关者能够做出数据驱动的决策。
关于客户
Auto Trader 是英国最大的数字汽车市场,为内部团队以及外部零售商和消费者提供服务。他们从各种来源生成大量数据,并希望利用这些数据做出更好的决策。
解决方案
Auto Trader 使用 BigQuery、Databricks、Looker 等工具构建了现代多云数据架构。该架构允许组织内不同角色进行可扩展、可信、自助数据访问。
运营影响
  • The implementation of Looker and the shift to a cloud-based data architecture transformed Auto Trader into a data-driven organization. The company was able to empower its employees to make data-driven decisions and provide insights to their retailers and consumers. The Looker deployment spurred a surge of internal interest and transformed Auto Trader into a data-driven organization. To further encourage a data culture, Auto Trader set up a data academy for its employees with the purpose of elevating skill sets. The company also launched an internal Looker Champion program to bring awareness of resources across the organization. The successful cloud-based architecture in place that pulls data from multiple sources, Auto Trader squads are continually learning and adjusting their best practices as they find creative ways to use Looker and other tools to increase business value to both automobile buyers and sellers.

数量效益
  • Auto Trader was able to better manage their extensive amount of data from online traffic and channels.

  • Provided internal and external users with the access and insights they craved.

  • Met increased security and privacy requirements.

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