Tracking network changes
Key features
Seamlessly manage and enforce optimisation policies across your network, guaranteeing consistent performance and maximising resource efficiency for improved operational outcomes.
Intelligent parameter change correlation
Automatically correlates network parameter changes with performance degradation, providing operators with a clear view of what adjustments were made and how they impacted network stability. This enables faster identification and resolution of issues.
Proactive historical parameter tracking
Leverage real-time and historical data to identify early warning signs of network instability. By tracking changes made days before degradation, operators can address potential issues before they escalate, ensuring smooth network performance.
Comprehensive parameter logging
Keep a detailed log of every network parameter change, both old and new. This complete history of configurations enables easy rollback if needed and helps operators analyse trends to prevent future degradation, ensuring optimal network health.
Correlation
Automatically correlate network parameter changes with performance degradation, offering real-time and retrospective insights to quickly pinpoint root causes and reduce downtime.
Prevention
Proactively monitor parameter changes to detect early warning signs of degradation, allowing operators to address issues before they impact network performance.
History
Maintain a comprehensive log of old and new parameter changes, enabling easy rollback and trend analysis for improved network stability and troubleshooting.
Key performance indicators
Difficulty in identifying the impact of network changes
When performance issues like degraded call quality or slower data speeds arise, operators struggle to quickly correlate them with recent parameter changes. This delay extends service disruptions, affecting both network reliability and customer experience.
Delayed response to degradation
When performance issues like degraded call quality or slower data speeds arise, operators struggle to quickly correlate them with recent parameter changes. This delay extends service disruptions, affecting both network reliability and customer experience.
Lack of early warning for degradation
Network issues can gradually build over days after parameter changes, but without the ability to track those adjustments in advance, operators miss critical opportunities to prevent full-scale service degradation and minimise downtime.
30-40
faster resolution of network issues
15-25
increase in network stability
20-30
boost in operational efficiency
Applications for mobile networks
Byanat's cutting-edge AI platform revolutionises network management by automating key processes and enhancing operational efficiency.
