利用 IBM Power Systems 上的 SAP HANA 实现的实时应用程序提升竞争优势
公司规模
Mid-size Company
地区
- Europe
国家
- Netherlands
产品
- SAP HANA
- IBM Power Systems
- IBM Storwize V7000
- IBM PowerVM
- SUSE Linux Enterprise Server for SAP Applications
技术栈
- SAP HANA
- IBM Power Systems
- IBM Storwize V7000
- IBM PowerVM
- SUSE Linux Enterprise Server
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 平台即服务 (PaaS) - 数据管理平台
- 基础设施即服务 (IaaS) - 云计算
适用功能
- 商业运营
用例
- 预测性维护
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Ctac 是一家 ICT 解决方案提供商和 SAP 增值经销商，总部位于荷兰斯海尔托亨博斯，在比利时和法国设有办事处。Ctac 提供业务咨询、云服务和软件开发，拥有 486 名员工，年收入达 8340 万欧元。该公司的核心重点是 SAP 解决方案，希望通过强大的内存云解决方案支持客户的业务流程创新，帮助他们从实时洞察中获益并获得新的竞争优势。
挑战
Ctac 是一家 ICT 解决方案提供商和 SAP 增值经销商，它注意到其客户越来越倾向于提高灵活性、加快业务流程和实时分析。该公司意识到，如果能够让客户以经济高效的方式快速洞察业务数据，那么就可以帮助他们获得竞争优势。然而，Ctac 希望构建一种解决方案，让客户无需在 IT 方面进行高额的前期投资即可优化业务流程。该公司决定为核心客户工作负载寻找合适的配置，以便在单一环境中实现传统和新的实时分析 SAP 工作负载之间的协同作用，尽可能高效灵活地利用其资源。
解决方案
Ctac 构建了全新、高度灵活且可扩展的云基础架构，为客户提供适用于 SAP Business Suite、SAP Business Warehouse 和尖端 SAP S/4HANA 应用程序以及 SAP Fiori 移动应用程序的强大环境。该公司与 IBM 和 SAP 合作，创建了定制的数据中心集成解决方案，以基于 IBM Power Systems 上的 SAP HANA 提供创新的云服务。该公司部署了配备最新 IBM POWER8 处理器、领先的 IBM PowerVM 虚拟化技术和 SUSE Linux Enterprise Server for SAP Applications 的 IBM Power System E870 服务器。为了提供快速且经济高效的数据存储，Ctac 选择了集成 IBM Easy Tier 技术的 IBM Storwize V7000 存储系统，确保所有系统和应用程序的性能自动优化。
运营影响
数量效益
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
Remote Temperature Monitoring of Perishable Goods Saves Money
RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.
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.
