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NETSCOUT > Case Studies > Manufacturer Improves Quality of Experience at Remote Offices
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Manufacturer Improves Quality of Experience at Remote Offices

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Networks & Connectivity - Software-Defined Networking
Applicable Industries
  • Consumer Goods
Applicable Functions
  • Discrete Manufacturing
  • Logistics & Transportation
Use Cases
  • Predictive Maintenance
  • Supply Chain Visibility
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
The manufacturer was facing issues with application access from their remote manufacturing and warehouse locations to their data center. Their legacy tools did not provide the necessary visibility into their Multiprotocol Label Switching (MPLS) network between the data center and their 50+ locations to see what was consuming the bandwidth and why there were intermittent disruptions. With revenue, customer satisfaction, employee productivity, and end-user experience at top of mind for this IT team, they quickly pursued a strategy to bring visibility into their domain.
About The Customer
This United States manufacturer of consumer products has expanded in the last several years through organic increases in sales on internally developed products, as well as through strategic, targeted mergers and acquisitions. One such recent acquisition expanded the company from roughly 25 manufacturing and distribution locations worldwide to more than 50, supporting product distribution in over 100 countries in the Americas, Europe, and Asia. Their 5,000 employees, supporting billions in annual revenue globally, depend on the availability and performance of their distributed data network for enterprise resource planning (ERP) and production applications, order processing and customer resource management (CRM) applications, Web portals for distribution and sales, and general business services ranging from email to Unified Communications (UC).
The Solution
The IT staff at this consumer manufacturer moved fast and in less than three months evaluated their current performance management tools, researched alternative monitoring approaches, and evaluated a couple of select vendors to provide the level of visibility and service assurance for their specific needs. Architects and engineers from the network team, along with a member of the Network Security Engineering team all participated in the evaluation, selecting NETSCOUT® for both service assurance and packet broker technology. The IT team selected NETSCOUT for this project due to several reasons including the priority to use real-time, continuous packet traffic monitoring due to the value and benefits it provided, NETSCOUT’s patented Adaptive Service Intelligence™ (ASI) technology leverages “smart data” from InfiniStreamNG appliances monitoring packets across the network, and “Smarter analytics” in nGeniusONE Service Assurance platform from ASI data assure performance, manage risk, and facilitate superior decision-making regarding their application and network services to the remote locations over the MPLS network.
Operational Impact
  • Reducing the Mean-Time-to-Resolve (MTTR) issues impacting their manufacturing and distribution sites has been the biggest benefit to this manufacturer.
  • Time is money in manufacturing, and restoring quick access and availability to customer orders, inventory levels, and shipping data is essential to avoid a direct financial impact to the business.
  • With nGeniusONE and InfiniStreamNG software appliances now in the data center monitoring traffic between each site, the networking team can proactively detect and address issues as they arise across the MPLS network to minimize or even avoid disruption.
Quantitative Benefit
  • The nGeniusONE solution is even making them more proactive with trended data that helps identify locations which need timely additional bandwidth, or even a reduction in bandwidth.
  • This helps to develop better relationships with their MPLS vendors around the world, while simultaneously improving their IT budgeting based on usage evidence for each location that didn’t exist previously.

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