下载PDF
Financial Services Leader Improves Business Delivery with NETSCOUT Visibility as a Service Program
技术
- 平台即服务 (PaaS) - 连接平台
适用行业
- 金融与保险
适用功能
- 商业运营
- 人力资源
用例
- 预测性维护
- 供应链可见性(SCV)
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
在流量大的年度纳税申报期间,该公司面临人员短缺的问题,而这恰恰是其财务日历中的关键时期。由于员工晋升、调动、离职和休假安排,网络运营 (NetOps) 团队缺少热门主题专家。尽管与 NETSCOUT 定期安排 nGeniusONE 知识转移会议,但团队仍然人手不足。该公司的技术环境也变得越来越复杂,涉及第三方提供商和云交付平台,这些平台偶尔会出现性能异常,NetOps 需要对其进行分类。该公司需要找到一种创新方法来最大限度地利用 nGeniusONE 平台并扩大其价值,以监控和分析公司业务部门定期添加的新应用程序。
关于客户
客户是一家全球金融服务公司,提供广泛的咨询服务和软件解决方案,支持商业和个人业务客户。该公司充分利用了包括 Web 和移动应用程序在内的数字平台组合。该公司的联系中心提供对支持业务至关重要的下一代语音和视频服务。此外,他们的信息技术 (IT) 团队运营传统数据中心,以帮助维持公司数百个远程位置的金融业务。
解决方案
该公司选择了 NETSCOUT 可视性即服务 (VaaS) 产品来增强业务服务可靠性并提高 nGeniusONE 故障排除效率。NETSCOUT 提供远程 nGeniusONE 主动监控,其全球 VaaS 团队由应用程序和网络专家组成,利用成熟的业务实践来最大限度地提高整个企业的故障排除效率。这些经过全面培训的 nGeniusONE SME 能够立即向 IT 业务展示其价值,他们能够构建仪表板视图、评估服务依赖关系图并设计逻辑故障排除工作流程,以快速确定应用程序处理延迟的根源。VaaS 团队帮助收集、组织和分析公司的应用程序和网络性能数据,以便提供每月使用率摘要、性能基准、趋势和咨询会议,并提供改进建议。如果出现问题,VaaS 团队将提供故障排除专业知识,以减少平均了解时间 (MTTK) 并加快平均修复时间 (MTTR)。
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.”