富士通利用 Dynatrace 提供卓越的用户体验
公司规模
1,000+
国家
- Worldwide
产品
- Dynatrace
技术栈
- AI-powered insights
- Full-stack observability
- Digital Business Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用功能
- 商业运营
用例
- 预测性维护
服务
- 数据科学服务
关于客户
富士通是日本领先的信息和通信技术 (ICT) 公司，提供全系列技术产品、解决方案和服务。他们利用自己的经验和 ICT 的力量与客户一起塑造社会的未来。富士通运营一系列服务和解决方案，以支持其客户实现企业范围的数字化。例如，富士通的 FAST 门户使员工和客户能够自助处理支持请求，并允许开发人员将代码投入生产以向客户提供创新。富士通还依靠其他关键的后端应用程序（例如其自动计费系统）来提供服务。
挑战
富士通运营一系列服务和解决方案，以支持其客户实现企业范围的数字化。例如，富士通的 FAST 门户使员工和客户能够自助处理支持请求，并允许开发人员将代码投入生产以向客户提供创新。富士通还依靠其他关键的后端应用程序（例如其自动计费系统）来提供服务。所有这些应用程序必须无缝运行才能确保良好的客户体验。此外，富士通还提供解决方案来帮助其客户提高其自身数字服务的性能，例如其数字绩效管理服务。2020 年向远程办公的快速转变导致登录富士通 FAST 门户的员工和客户的 VPN 访问请求激增。这导致用户体验下降，富士通能够通过 Dynatrace 快速了解并解决这一问题。
解决方案
富士通采用 Dynatrace 既是为了确保自己的应用程序和服务能够提供出色的用户体验，也是为了提供支撑其为客户提供的绩效管理解决方案的功能。借助 Dynatrace 提供的 AI 驱动答案，富士通可以立即查明影响客户和员工的任何问题的原因，以便其团队能够快速响应并优化用户体验。Dynatrace 还帮助富士通通过 FAST 门户加速向客户和员工提供新的数字创新。Dynatrace 可以立即识别新代码或其与第三方服务的依赖关系中任何问题的根本原因，因此富士通的开发人员可以在用户体验受到影响之前解决问题。Dynatrace 提供的全栈基础设施可观察性使富士通能够看到其为支持客户的数字化转型之旅而构建的多云环境的内部情况。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
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
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
