Manufacturer Ensures Reliable WAN Connectivity and Quality User Experiences with NETSCOUT
Company Size
1,000+
Region
- America
Country
- United States
Product
- nGeniusONE solution
- InfiniStreamNG appliances
- nGeniusPULSE & nPoint sensors
- NETSCOUT Visibility as a Service (VaaS)
Tech Stack
- SaaS/UCaaS
- WAN
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Functions
- Discrete Manufacturing
- Maintenance
Use Cases
- Predictive Maintenance
- Real-Time Location System (RTLS)
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
The customer is a North American manufacturing leader with over 180,000 global employees. The company relies on stable and secure connectivity to enhance operations, maintain communications, and fuel innovation. To support their hybrid workforce in both remote and regional locations, the wide-area network (WAN) remote office IT team has prioritized application delivery and user experience performance. They strive to enhance employee productivity, provide seamless vendor collaboration, and deliver reliable, quality performance of third-party applications. With the help of the Visibility as a Service (VaaS) team, they have implemented NETSCOUT solutions to significantly reduce troubleshooting time and improve the stability and performance of their Software as a Service (SaaS) and Unified Communications as a Service (UCaaS) applications.
The Challenge
The manufacturer was facing visibility gaps in identifying the root cause of SaaS/UCaaS quality performance issues. The Network Operations (NetOps) team was challenged by a lack of visibility to effectively identify slowdowns, troubleshoot degradations, and restore quality delivery quickly in their efforts to avoid negative user impact. The company was also experiencing notable performance issues with UCaaS applications, without a clear understanding of the origin of the slowdowns. Readily available, ongoing visibility at the WAN network edge became necessary to pinpoint the source of degradations and swiftly resolve disruptions.
The Solution
The company utilized nGenius® Enterprise Performance Management solutions throughout their network, with the NETSCOUT VaaS team serving as a critical, highly experienced resource for 24 x 7 x 365 days a year review of the data from NETSCOUT solutions to expose quality issues quickly and efficiently. Using a custom-built scorecard tailored to highlight the performance of their most critical applications, the NETSCOUT VaaS team advises this manufacturer’s NetOps team of critical performance issues identified by continuous nGeniusPULSE nPoint business transaction tests. The manufacturer now has a service dashboard view configured to display the performance of various conference rooms, over both ethernet and wi-fi connections, to continuously assess global call quality and overall UCaaS application performance.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
