虚拟银行金库
公司规模
1,000+
地区
- Europe
国家
- Spain
产品
- IBM Global Technology Services
- IBM servers
技术栈
- Virtualization
- Cloud-based delivery model
- Data analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 数据挖掘
- 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
- 远程资产管理
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Kutxabank 是一家西班牙银行，三年前参与了西班牙巴斯克地区四家竞争对手金融机构的合并。新控股公司需要整合所有四家银行（BBK、Kutxa、CajaSur 和 Caja Vital）的 IT，合理化数据中心，实现移动性，同时确保核心系统不丢失数据、不停机。该银行的 8,000 个工作站和 2,000 台 ATM 需要整合，且不能影响 6,500 名员工或 280 万客户（其中大多数是零售客户，其他经营中小型企业）的业务。而且，该银行的所有技术都必须适应数据依赖的未来。
挑战
西班牙银行 Kutxabank 在四家竞争对手的金融机构合并后面临重大挑战。该银行需要整合所有四家银行的 IT、合理化数据中心并实现移动性，同时确保核心系统不会丢失数据且不会停机。这种整合包括核心系统以及与客户和员工相关的技术。该银行的 8,000 个工作站和 2,000 台 ATM 需要整合，并且不会对 6,500 名员工或 280 万客户造成任何干扰。此外，该银行的所有技术都必须适应数据依赖的未来。
解决方案
Kutxabank 决定采用虚拟化技术，为每笔交易构建弹性。该银行与 IBM 全球技术服务部签署了一份为期 10 年半的端到端合同。IBM 开发了一个虚拟化基础设施，在 Kutxabank 的数据中心部署了 IBM 服务器。虚拟化技术使该银行能够在一个周末内一次性转换所有工作站，使员工能够通过移动设备保持连接，并提高银行分支机构的弹性。现在，所有工作站和设备都作为瘦客户端运行，所有数据都备份在由 IBM 管理的银行数据中心。该银行还维护两个主数据中心和第三个数据中心，用于恢复目的。
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.”
