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Improving Internet Performance for Financial Services Customers
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 混合云
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 基础设施检查
- 过程控制与优化
服务
- 云规划/设计/实施服务
- 系统集成
挑战
该公司的财务处理量不断增加,再加上公司自身的业务增长,这给其互联网业务带来了巨大的负担,进而限制了其为全球客户提供增值服务的能力。这对 IT 团队来说并不是一个新问题——之前旨在整合其传统互联网架构的项目已经停滞不前。鉴于这些财务处理和业务增长领域带来的需求变化,需要一个更大规模的互联网架构增强项目。根据 IT 团队的计划,这个当前的项目需要重新设计和重新定位他们的主要互联网线路,增加对 Equinix 共置 (Co-lo) 数据中心服务的依赖,以及在其主要数据中心之间建立新的 100GB 高速主干网。
关于客户
该公司每天处理数百万笔业务交易,这帮助该公司成为全球金融服务领导者。该公司在整个 COVID-19 期间保持运营,部分原因是在此期间开展了许多成功的信息技术 (IT) 项目,这些项目帮助该公司适应了在线交易的急剧增长,并确保了员工在混合劳动力转型期间的工作效率。这些不同项目的成功有一个共同点,那就是依靠 IT 对 NETSCOUT 服务保障、智能可视性和 nGenius 数据包流交换机 (PFS) 技术的长期投资,以提高整个业务的服务边缘可视性和实时监控。与长期签约的 NETSCOUT 高级服务工程师 (PSE) 的高度协作合作带来了额外的价值。IT 团队将他们的 PSE 视为值得信赖的主题专家,也是他们更大的 IT 团队和项目运营工作事实上的延伸。
解决方案
IT 团队邀请了他们签约的 NETSCOUT PSE 参加早期规划会议,从而加强了 NETSCOUT 主题专家与公司架构和设计团队以及数据中心运营部门联系人之间的协作。这些集体资源验证了 IT 可以在项目截止日期前成功部署的设计,解决方案如下:提供对关键互联网基础设施部分的高度战略性可视性,这些部分对于实现可靠性能必不可少,并通过 nGeniusONE 实时监控和使用完善的工作流程来保证服务。将网络环境升级到 100GB 速度,以用于网络边缘的互联网链接,并部署基于软件的 NETSCOUT 认证 InfiniStreamNG (ISNG) 9800 系列设备进行智能边缘监控。将生产级 ISNG 设备重新用于其他位置,以扩大其他 10GB 网络段的可视性。使用 nGenius 数据包流交换机将 100GB 段上的网络数据包流量分发到下游设备,包括 ISNG 设备。
运营影响
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.”