下载PDF
Assuring End-to-End Visibility and Real-Time Analysis of Teams, Webex, and Zoom
技术
- 应用基础设施与中间件 - 数据交换与集成
- 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
用例
- 远程协作
- 远程控制
服务
- 系统集成
挑战
当 COVID-19 疫情爆发时,该公司正在进行战略性的统一通信和协作 (UC&C) 技术转型。语音团队的任务是监督从 Cisco Call Manager 直接过渡到 Microsoft Teams 统一通信即服务 (UCaaS) 解决方案的业务关键型转型。员工准备利用扩展的 MS Teams 视频会议、聊天、语音和其他协作工具来取代他们过去与客户和同事进行的面对面会议,这一举措的重要性因此而凸显。随着公司开放式混合劳动力转型的持续进行,语音团队还鼓励在员工首选的平台上使用多供应商 UCaaS 技术,除了 Teams 之外,还包括 Cisco Webex 和 Zoom。这进一步增加了语音团队的 UC&C 可视化和实时监控工作的复杂性。
关于客户
客户是一家领先的金融服务公司,一百多年来一直受到机构和个人投资者的信赖。在全球混合劳动力转型期间,该公司通过战略收购和有机增长继续增强其金融影响力。该公司的信息技术 (IT) 领导层已为其基础设施和运营采用了敏捷项目管理实践。在支持与这些持续努力相关的活动方面,IT 网络、语音和安全团队与 NETSCOUT® 合作,提供端到端可视性和对其网络和应用程序的实时监控,以支持员工和客户的高水平用户体验。
解决方案
语音团队与 IT 运营部门的同事合作,利用已部署的 NETSCOUT 服务保障解决方案来满足他们的集体 UC&C 技术要求。借助公司自有数据中心和 Equinix 主机托管 (Co-lo) 数据中心中安装的 NETSCOUT InfiniStreamNG (ISNG) 智能可视性数据源,集体 IT 部门可以访问实时 nGeniusONE UC 分析,了解所有平台上的服务质量和用户体验。NETSCOUT 智能数据由获得专利的 Adaptive Service Intelligence® (ASI) 从公司的网络数据包流量中生成,用于将 nGeniusONE UC 分析输入 Teams、Webex 和 Zoom 性能。与 NETSCOUT 合作,集体 IT 运营部门可视化了 MS Teams UCaaS 通信的网络路径,通过 Microsoft Azure Cloud 到达员工和客户 - 无论路径如何(包括公司数据中心、Equinix Co-lo、MS Express Route 或通过互联网用于家庭办公室)或用户位置(例如总部、分支机构、WFH)。
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.”