Service Provider

Bouygues Telecom assures top-tier service

Discover how Bouygues Telecom delivers exceptional service by integrating Cisco Provider Connectivity Assurance for continuous end-to-end monitoring of their mobile network.

Addressing network blind spots and working to meet SLAs


Bouygues Telecom relies on seamless, real-time network intelligence to deliver on its promises. It is moving past the limitations of manual analysis to ensure exceptional service.

Bouygues Telecom

Bouygues Telecom's 20.5 million users count on its extensive mobile and robust fixed and cloud services for a seamless digital experience daily.

Challenge

Bouygues Telecom had blind spots in its network, including "invisible" persistent network problems and traffic bursts that were impacting performance. This created the following issues:

  • Lack of real-time network and service performance visibility
  • Slow, manual merging of siloed datasets for troubleshooting
  • Need for aggregated network views
  • Inability to efficiently drill down for root cause analysis
  • Difficulty correlating metadata, such as location or routing, with performance issues

Solution

Bouygues Telecom needed real-time, granular network performance insights and macro views. The solution was Cisco Provider Connectivity Assurance (formerly Accedian Skylight). The complete implementation includes:


Outcomes

Hidden performance issues unveiled

Helped identify undetected network capacity issues using delay variation and packet loss metrics

Major savings

Reduced customer-impacting issues, while saving time and resources by streamlining and automating troubleshooting

A more comprehensive understanding of network congestion

Provided real-time, in-depth views across the distributed mobile network from one cloud-native platform

Over 15 disparate teams benefit from the insights

Flexible, easy-to-use analytics user interface supports many users, teams, use cases, and workflows

Full-service telecom

As a full-service telecommunications operator, Bouygues Telecom stands out by providing its 20.5 million customers access to the best that technology has to offer. The high quality of its mobile network—which covers 99% of the French population—and its fixed and cloud services provide customers with simple solutions, enabling them to fully enjoy their personal and professional digital lives wherever they are.

Real-time network mastery

Bouygues Telecom requires a deep, real-time understanding of network, application, and service behavior. Its analytics solution must be able to ingest and process performance data in real time, visualize the results, and enable deeper troubleshooting on where and how to solve problems. These functionalities are needed to successfully meet more stringent service-level agreement (SLA) guarantees for new business-critical 5G services.

Technical landscape

Bouygues Telecom runs a centralized evolved packet core (EPC) architecture, and the bursty nature of mobile traffic can impact service quality. Bouygues Telecom operates multivendor mobile networks and collects billions of granular performance data measurements daily to detect congestion, packet loss, and quality of service (QoS) issues. The network team relies on real-time, granular performance visibility to optimize mobile network performance and ensure services.

Network insights and performance

Bouygues Telecom deployed Provider Connectivity Assurance, which ingests real-time performance data and correlates it with network infrastructure and topology data. The platform is uniquely capable of analyzing high volumes of performance data across all network domains, applications, and services. In just a few clicks, Bouygues Telecom can see a macro view of network performance at a regional or global level or zoom in on what’s happening at a single site or service—all in real time. Bouygues Telecom can then drill down even further to understand the root cause of issues or compare issues by adding relevant metadata on router and port or class of service (CoS) configurations. AI-enabled algorithms detect patterns, flag anomalies, and can be trained to automate service quality adjustments in a closed loop.

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