瑞穗银行转型网上和移动银行系统
公司规模
Large Corporate
地区
- Asia
国家
- Japan
产品
- IBM z Systems
- IBM DB2 High-Availability Disaster Recovery
- IBM InfoSphere Data Replication (Q Replication)
- SUSE Linux Enterprise Server for System z
- IBM zEnterprise EC12
技术栈
- Linux
- IBM DB2
- IBM InfoSphere
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
技术
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 预测性维护
- 车队管理
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
瑞穗银行有限公司成立于 2002 年，总部位于东京，是一家领先的银行，在日本各县拥有 500 多家分支机构和 11,000 台 ATM。瑞穗为 2600 多万家庭提供日常银行、信托和证券等产品。瑞穗一直在使用老化的网上银行系统，该系统无法提供实现其推广“一个瑞穗”集团目标所需的灵活性或多样性，该集团旨在为个人客户提供无缝产品和服务，包括银行、信托和证券，并改善向企业客户提供资金的功能。
挑战
瑞穗银行的老化系统缺乏必要的灵活性和支持，无法实现其通过服务提供更好的客户体验、增强业务连续性并降低 IT 成本的目标。该银行希望更好地利用先进的风险管理能力并提供行业知识来帮助开发新产品和新服务并拓展至非日本海外客户。瑞穗银行的另一个优先事项是建立一个提供稳定性和连续性的平台，同时以低成本在较短的开发和部署时间内创建新的创新型互联网和移动服务。
解决方案
瑞穗银行更新了其基础设施，后来选择使用 IBM 技术对其进行更新。IBM 团队与该银行合作，设计和构建了一个新的解决方案，该解决方案结合了 IBM zEnterprise® EC12、SUSE Linux Enterprise Server for System z® 和 IBM DB2® 高可用性灾难恢复解决方案。该银行与 IBM 一起启动了一个全球支持系统来部署关系数据库管理系统 (RDBMS)，来自加拿大和德国的专家来到日本，在发布期间为 DB2 和 Linux 解决方案提供全面支持。IBM z Systems 技术提供了瑞穗银行所需的可扩展性和稳定性，使其能够以一半的成本在其 Linux 环境中运行主动-主动系统，并为其客户提供业务连续性。
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
MasterCard Improves Customer Experience Through Self-Service Data Prep
Derek Madison, Leader of Business Financial Support at MasterCard, oversees the validation of transactions and cash between two systems, whether they’re MasterCard owned or not. He was charged with identifying new ways to increase efficiency and improve MasterCard processes. At the outset, the 13-person team had to manually reconcile system interfaces using reports that resided on the company’s mainframe. Their first order of business each day was to print 20-30 individual, multi-page reports. Using a ruler to keep their place within each report, they would then hand-key the relevant data, line by line, into Excel for validation. “We’re talking about a task that took 40-80 hours each week,” recalls Madison, “As a growing company with rapidly expanding product offerings, we had to find a better way to prepare this data for analysis.”
