下载PDF
Test Data Optimization Tools Continue to Earn Interest at Royal Bank of Canada
技术
- 应用基础设施与中间件 - 数据交换与集成
适用功能
- 商业运营
用例
- 预测性维护
服务
- 软件设计与工程服务
挑战
加拿大皇家银行的信息技术部门需要确保其测试数据管理软件足够高效，能够处理银行不断扩展的金融服务清单，并确保所有新应用程序都能与现有应用程序很好地交互。银行的 IT 部门需要更高效地利用其资源，同时更快速、更经济地执行测试数据管理项目。面对日益增长的客户期望，IT 部门必须确保银行不断增长的金融服务产品清单能够正常高效地运行，并且其新应用程序能够补充现有应用程序。
关于客户
加拿大皇家银行是该国资产和市值最大的银行之一，在金融服务领域处于领先地位。该银行的收入来源非常多样化，涉及多个地区和产品。约 74,000 名全职和兼职银行员工为全球近 1500 万客户提供服务。皇家银行的开发团队不仅仅提供工具支持，还专注于为其内部客户提供解决方案。“我们试图找到正确的工具组合，让用户能够找到解决方案，”技术开发支持服务项目负责人 Jeff Price 说。
解决方案
在重新评估了 Compuware File-AID 和市场上的其他软件产品后，皇家银行再次意识到 File-AID 的价值，以及它如何在日常工作中受益于该解决方案的广泛功能。技术开发支持服务组的技术系统分析师 Mary Hayward 向银行的业务分析师介绍了 File-AID。业务分析师现在广泛使用该工具的浏览功能（采用 COBOL 布局）来深入了解文件的字段内容。皇家银行的开发团队意识到他们可以替换其他供应商的工具，并从他们已有的解决方案（File-AID 的比较功能）中获得更好的结果。
运营影响
数量效益
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.
