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Databricks > 实例探究 > 转变澳大利亚铁路行业的数字生态系统:利用 Databricks 更快地获得洞察并节省成本
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Transforming the Australian Rail Industry’s Digital Ecosystem with IoT

技术
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - 数据交换与集成
适用行业
  • 铁路与地铁
  • 运输
适用功能
  • 物流运输
  • 维护
用例
  • 预测性维护
  • 交通模拟
服务
  • 数据科学服务
  • 系统集成
挑战
ARTC 正在处理来自不同来源的孤立数据集,导致铁路网络管理效率低下和不必要的复杂性。他们需要一种更现代、更简化的方法来利用数据驱动的见解和策略。
关于客户
澳大利亚铁路公司 (ARTC) 负责管理和监控澳大利亚 8,500 公里铁路网络的货物运输。他们收集大量数据以确保及时运送货物。
解决方案
ARTC 使用 Databricks 在 Microsoft Azure 上实现了基于云的数据湖屋架构。这使他们能够统一数据管理、高级分析和机器学习驱动的解决方案的方法。他们还使用 Databricks SQL 和 Power BI 等商业智能工具来更快地获得洞察和决策。
运营影响
  • The implementation of the Enterprise Integration Data Platform (EIDP) has resulted in a more agile digital ecosystem with data at the helm of its innovation. The platform has enabled ARTC to unify its approach to data management, advanced analytics, and ML-powered solutions. The data engineers are now able to perform multiple functions in a secure and seamless way, across data ingestion, data preparation, and data analysis. This has led to the creation of a data-driven ecosystem where ARTC's systems can communicate with each other seamlessly and implement groundbreaking design patterns with an event-driven architecture and high technical maturity. The new system has also prepared ARTC for future events, providing seamless access to rail track data and a consolidated view of its track health. This helps to prevent outages and forward-plan track maintenance schedules using predictive analytics, further preventing disruption to operations and network failures.
数量效益
  • 30% faster time to insights for freight logistics optimization
  • 80% improvement in data ingestion speed
  • 80% reduction in data engineering hours, decreasing overall costs

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