下载PDF
Scaling Up Data Efforts With LINK Mobility
技术
- 平台即服务 (PaaS) - 应用开发平台
- 机器人 - 轮式机器人
适用行业
- 汽车
- 运输
适用功能
- 物流运输
用例
- 自主运输系统
- 交通模拟
挑战
2017 年,LINK Mobility 决定在处理内部请求以及与客户的外部请求时扩大数据工作。
LINK Mobility 产生了大量数据,并看到了扩展其产品的机会,以便围绕消息和服务的交付和性能为客户提供更多数据驱动的洞察力。他们希望扩展到客户仪表板,并根据该数据发送额外的报价。
LINK Mobility 需要找到一种工具,使他们能够扩大来自公司内部的数据请求,并足够灵活地为客户提供数据洞察力,而无需使用两种不同的工具或平台来满足他们的各种需求。
客户
联通移动集团
关于客户
LINK Mobility Group是欧洲领先的移动通信提供商,专注于移动消息服务、移动解决方案和移动数据智能。由于企业与客户、平台和用户之间对数字融合的需求不断增长,它们提供了跨行业和部门的广泛可扩展服务和解决方案。
解决方案
LINK Mobility 之所以选择 Dataiku,是因为它能够以少量员工快速促进为客户部署创收监控服务。 LINK Mobility 的团队在短短七个月内完成了他们的第一个数据项目,这是没有 Dataiku 所需时间的一半。
- 通过使用 Dataiku,LINK Mobility 能够:
- 轻松处理大量不同类型的数据。
- 通过提供一个让双方都能舒适工作的单一平台,促进业务团队和技术人员之间的协作和内部沟通。
- 轻松重用他们以前的工作;换句话说,以直观的方式展示数据是如何转换的,以便其他团队成员可以轻松上手,并且可以快速解释所有数据流程。
- 将笔记本中的编码与可视化配方相结合,以加快分析速度。
- 使用首选工具满足任何数据需求。
运营影响
数量效益
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.