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Bridge the gap between your NOC and service desk

Unify service desk tickets and monitoring data to improve L1 response with greater visibility, speed, and accuracy.

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Know how your end-users are impacted

End-users still report 65% of incidents, rather than system telemetry. BigPanda correlates service desk data so L1 teams can validate end-user issues and prioritize them accurately.

Automate investigation to accelerate diagnosis

Automatically correlate vital service desk data directly into BigPanda Incidents so your L1 operators can immediately understand what’s happening. Eliminate manual investigations across multiple tools and teams for faster diagnosis.

<br /> BigPanda Incidents contain critical data such as priority, team, region, and service, to provide L1 teams with greater visibility into incidents. </p> <p>
Quickly identify and prioritize incidents that are impacting end users. </p> <p>

Prioritize incidents accurately for faster response

Give your L1 operators real-time insights to pinpoint high-priority issues and identify the teams already working on them. Ensure accurate prioritization by providing the necessary information to classify incidents correctly and meet SLAs.

Uncover hidden telemetry data

Service desk tickets contain valuable, unstructured end-user data that monitoring tools miss. Unify monitoring data with service desk tickets to give your NOC teams a comprehensive understanding of the issue for faster diagnosis and triage.

Gain a greater understanding of incidents by surfacing telemetry from the service desk. </p> <p>

FAQ

What is service desk correlation?

Service desk correlation automatically surfaces end-user ticket data in a BigPanda Incident. This eliminates the manual effort of searching for related tickets and creates a unified view that connects an infrastructure alert to its direct impact on end users.

What kind of information is correlated?

BigPanda correlates critical ticket information such as priority, teams, region, and the number of tickets to BigPanda Incidents, providing a complete view of end-user impact.

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