EVERTEC 确保更精简、更快速地处理数十亿笔交易
公司规模
Large Corporate
地区
- America
国家
- Puerto Rico
产品
- IBM zEnterprise EC12
- IBM z/OS
- IBM z/VM
- IBM z/VSE
- Oracle Database 11g Release 2
- SUSE Linux Enterprise Server for System z
技术栈
- IBM System z
- Oracle Database
- SUSE Linux Enterprise Server
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云中间件与微服务
- 基础设施即服务 (IaaS) - 混合云
适用行业
- 金融与保险
适用功能
- 离散制造
- 物流运输
用例
- 边缘计算与边缘智能
- 过程控制与优化
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
EVERTEC, Inc. 为拉丁美洲和加勒比地区提供广泛的商户收单、支付处理和业务流程管理服务。该公司总部位于波多黎各，提供一整套核心银行处理、现金处理和技术外包服务。EVERTEC 每年处理超过 21 亿笔交易，并管理着广泛的电子支付网络。EVERTEC 的服务为一系列金融机构、商户和政府机构的基本运营提供支持，因此必须确保全天候快速、安全和有效地处理。
挑战
EVERTEC 每年处理超过 21 亿笔交易，并管理着庞大的电子支付网络。EVERTEC 的服务支撑着一系列金融机构、商家和政府机构的基本运营，因此必须确保全天候快速、安全、有效地处理交易。过去，EVERTEC 使用分布式平台来支持其多个交易处理系统。随着公司支付网络多年来的扩张，维护底层计算基础设施的费用和工作量大幅增加。随着服务器规模和复杂性的增加，运营成本有失控的危险。此外，服务器开始达到满负荷状态，没有增长空间，资源利用率低，影响了性能。
解决方案
EVERTEC 抓住机会，将大量核心 Oracle 数据库从其分布式平台迁移到在 System z 平台上运行的虚拟化 SUSE Linux Enterprise Server 环境。EVERTEC 首先将支持关键财务应用程序的大量 Oracle 数据库迁移到其大型机环境，该环境具有两个 IBM zEnterprise EC12 (zEC12) 系统，这些系统以集群配置设置以实现高可用性。到目前为止，该公司已将大约 40 个数据库迁移到 zEC12，并最终计划将其整个 Oracle 环境迁移到大型机上。EVERTEC 还利用 IBM zEC12 为托管多个客户的系统提供可靠的基础。在这里，System z 平台提供了一个理想的环境，可确保客户数据和应用程序全天候安全且可访问。
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.”
