GAVel’s lucid UI interface, unified dashboards and heat-maps offers real-time, end-to-end visibility into an enterprise’s operations, processes and user experience. Integrates multiple streams of information to provide 360° view, better root cause analysis and predictions. Enable enterprises to view day-to-day functioning of IT operations, leading to improved transparency and setting expectations with users, to reduce negative CSAT.
Siloed event generated from siloed IT operations monitoring tools are aggregated and correlated using advance machine learning algorithms. Patterns are self-learned and unlearned by algorithms to provide higher accuracy in correlations. 99.99% of events are correlated by GAVel, which removes alert fatigue in enterprise.
Streaming events from various IT operations monitoring tools are processed by our event correlation engine, to identify frequent sub sequences. Unsupervised machine learning algorithms auto-tunes parameters based on enterprises data streams to derive higher accuracy in correlation.
GAVel’s root cause analysis models identify the root cause with a probable value to the event or events that may have caused the spike or anomaly. Learning from past data GAVel also provides remediation steps for the identified problem, resulting in reducing MTTR by 95%.
GAVel’s Artificial Intelligence drives enterprises to reduce noises generated from IT operations monitoring tools by 95%. Supervised and unsupervised algorithms suppress alerts or events that are not actionable based on alert pattern identified. Zero in, on the events that impact business continuity and eliminate the noises.
Driven by Machine Learning algorithms, GAVel integrates seamlessly with traditional performance monitoring tools to PREDICT performance degradation and capacity utilization bottlenecks. Real time analytics on alerts from infrastructure monitoring tools helps forecasting system utilization breaches paving the way for preventive actions.
GAVel uses predictive algorithms and statistical models on past incidents to help assign accurate estimated time to resolve issues thereby improving customer satisfaction. Auto triaging of incidents using GAVel’s virtual supervisor, that helps in productivity improvements by minimum 40%. Along with self-help features for incident resolution, GAVel offers extensive flexibility that can be integrated with any ITSM tool.
Using a combination of NLP & text analytics, GAVel helps organizations gain perceptions of consumer sentiment, customer behavior, user satisfaction reports, trending patterns and provides an overall sentiment score. The platform helps to gain insights into brand strengths & weaknesses, and drives competitive metrics to create benchmarks and branding strategies.