Geotab: Turning Data from Vehicles into Actionable Insights
公司规模
Large Corporate
地区
- America
国家
- Canada
- United States
产品
- Geotab GO
- MyGeotab
- Google BigQuery
- TensorFlow
技术栈
- Google Cloud
- Google Compute Engine
- Google BigQuery
- TensorFlow
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 运输
- 城市与自治市
适用功能
- 物流运输
- 商业运营
用例
- 车队管理
- 预测性维护
- 智慧城市运营
服务
- 云规划/设计/实施服务
- 数据科学服务
- 系统集成
关于客户
Geotab is a Canada-based company that provides open platform fleet management solutions for businesses of all sizes. Founded in 2000, Geotab has grown to become one of the world's fastest-growing telematics companies. The company leverages real-time and historical trip data from over 1.4 million in-vehicle sensors to help businesses efficiently manage drivers and vehicles. Geotab's software platform, MyGeotab, enables customers to gain insights from raw vehicle data, optimizing deliveries, drivers, and vehicles. With devices in vehicles ranging from lawn mowers to heavy-duty trucks, Geotab's business is booming, having tripled its workforce and the number of vehicles it captures data from in recent years.
挑战
Geotab faced challenges in managing physical server and network infrastructure as it became too complex, especially when aggregating data across multiple servers. The company needed a fast, reliable, highly secure, and scalable database infrastructure to derive insights from data, which is crucial for their business. Previously, Geotab self-hosted all customer database servers on premises, which added to the complexity. The need for a more efficient system was evident as the company expanded its operations, tripling its workforce and the number of vehicles from which it captures data.
解决方案
To address the challenges of managing complex infrastructure, Geotab migrated all of its server infrastructure to Google Cloud. The MyGeotab platform is now hosted across over 800 virtual machines in Google Compute Engine, growing at a rate of 3 to 4 servers every week. Google BigQuery plays a key role in Geotab's operations, providing high-speed streaming insertion API, reliability, scalability, and support for standard SQL. This allows Geotab to aggregate data in a single database and develop specific benchmarks while maintaining customer privacy. Geotab also leverages TensorFlow, an open-source machine learning framework, to apply machine learning models to raw data, delivering context-specific benchmarks for customers. Google Professional Services and SpringML, a Google Cloud Partner, provided support in leveraging machine learning, helping Geotab to create features used in their machine learning algorithms.
运营影响
数量效益
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