insights
Explore the thought process and insights of our experts.
 
About
nagarro
Discover more about us,
an outstanding digital
solutions developer and a
great place to work in.
Investor
relations
Financial information,
governance, reports,
announcements, and
investor events.
News &
press releases
Catch up to what we are
doing, and what people
are talking about.
Caring &
sustainability
We care for our world.
Learn about our ESG
initiatives.
Thinking about
becoming a Nagarrian?
 
talk to us
Welcome to digital product engineering
Thanks for your interest. How can we help?
 
success story

Pre-emptive network fault detection

Using analytics and machine learning to help predict faults, minimize downtime, improve user satisfaction.
challenge_icon
challenge
The existing fault localization & root cause analysis was reactive and required a manual analysis of log files & alarms after fault occurrence. The localization of the problem proved very complex and resulted in significant downtime.
process_icon
solution
By leveraging analytics and machine learning, we developed a pre-emptive fault detection platform that ingests different datasets like logs, SNMP traps, PM/FM counters, etc., in both batch and stream forms from multiple network elements. The machine learning models detect anomalies and predict faults after filtering and cleansing the data using data engineering principles.
solution_icon
outcome
The solution enables the client to maintain a high quality of service and minimize SLA violations, resulting in greater user satisfaction. It also provides dashboards to depict the health of various network elements and to monitor the identified KPIs.