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Fransabank: Delighting customers with responsive and reliable in-branch, web and mobile banking
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云存储服务
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 过程控制与优化
- 预测性维护
服务
- 系统集成
- 云规划/设计/实施服务
挑战
法兰萨银行是黎巴嫩最大的银行之一,其业务快速增长,给其核心系统带来了巨大压力。该银行非常关注每个工作日开始和结束时以及每个月末关键批处理任务的执行情况。这些处理任务可确保所有交易都准确执行,所有账户都经过核对,这实际上是法定要求,同时也使银行能够准确了解其业务绩效。随着业务的快速持续增长,其 IT 战略的主要支柱是实施强大、可扩展且性能卓越的基础设施,该基础设施能够通过在更短的时间内处理大量数据和交易来伴随业务增长。这将避免任何潜在的未来服务影响,并确保在分行早上 8 点开门之前完成日终处理 — 无需担心业务量的大幅增长。
关于客户
法兰萨银行是黎巴嫩历史最悠久、规模最大的银行之一,通过 124 个分支机构提供全能银行服务。该银行在其他 9 个国家设有办事处,2015 财年净利润为 1.798 亿美元,总资产为 200 亿美元。法兰萨银行近年来取得了非凡的增长。2014 财年成功收购了另一家大型银行,总资产同比增长 11.66%,股东权益同比增长 12.75%。从 2011 年 40.88% 的峰值同比增长率开始,客户净贷款的同比增长率稳定在 10% 左右——这仍然是一个令人印象深刻的数字。
解决方案
Fransabank 决定部署一套全新的 SAB AT 核心银行解决方案,后台组件在 IBM i 操作系统上运行,前台组件在 IBM AIX 操作系统上的 IBM WebSphere Application Server 上运行。这两个组件在生产环境中的同一台 IBM Power 870 服务器上的 IBM PowerVM 上并行运行,并且该环境在第二个数据中心复制,以防止灾难。在确保关键系统具有出色的端到端性能和高可用性方面,存储层是一个重要的考虑因素。在选择 IBM DS8870 企业磁盘系统作为新虚拟化存储环境的核心之前,Fransabank 审查了来自全球领先供应商的选项。作为其主站点和 DR 站点中 DS8870 系统的补充,Fransabank 部署了 IBM FlashSystem 解决方案来提供超快速存储的“零层”,并部署了 IBM Storwize V7000 系统来为文件和归档数据提供灵活的内部分层存储。整个环境使用 IBM Spectrum Virtualize 进行虚拟化,这使 Fransabank 能够随着性能需求的变化管理基于策略的复杂层级数据迁移。
运营影响
数量效益
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.”