Case Study: Large Enterprise Energy & Utilities Company
Company Size
1,000+
Product
- NETSCOUT solution
- Adaptive Service Intelligence (ASITM) technology
Tech Stack
- Service-oriented performance management platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Functions
- Business Operation
Services
- System Integration
About The Customer
The customer in this case study is a large enterprise operating in the energy and utilities sector. The company was facing challenges in managing the performance of their IT services and was in search of an effective solution to optimize their operations. They considered various vendors before settling on the NETSCOUT solution. The company's main goal was to reduce degradations and outages in their IT services, thereby improving the overall performance and efficiency of their operations.
The Challenge
The large enterprise energy & utilities company was facing challenges in triaging service performance issues. They found that using a single service-oriented performance management platform was the most effective solution. The company considered various vendors including Riverbed and Network Instruments before selecting the NETSCOUT solution to solve their critical IT challenges like reducing degradations and outages.
The Solution
The company decided to implement the NETSCOUT solution, which is powered by Adaptive Service Intelligence (ASITM) technology. This technology offers a unique and holistic view of service dependencies and interrelationships, which was instrumental in helping the company optimize the performance of their IT services. The NETSCOUT solution provided the company with a single service-oriented performance management platform, which proved to be the most effective in triaging service performance issues. The implementation of this solution led to an increase in the quality of the end-user experience and a significant reduction in the time spent in the war room resolving a core service incident.
Operational Impact
Quantitative Benefit
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