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Find incident root cause faster with advanced AI

BigPanda Root Cause Analysis automatically identifies incident origin, explains impact, and reduces MTTR by up to 50%.

Get the data sheet

Rapidly identify and explain incident‑causing changes

Correlate multisource alerts with change data so NOC or ITSM teams can identify and roll back specific actions and changes that cause incidents.

Automatically reveal root cause

Quickly identify the factors that cause IT incidents across complex IT environments. Accelerate root cause identification and triage. Automatically suggest remediation actions in real time.

BigPanda Root Cause Analysis instantly provides crucial details for incident identification, triage, and remediation.
BigPanda Root Cause Changes uses multiple factors, including inference, correlation, CI/CD data, and multisource aggregation, to identify relevant IT changes.

Instantly reveal relevant change data

Root Cause Changes identifies the probable changes that resulted in an incident and reveals their context. Responders get natural-language explanations of the reasoning and statistical confidence behind the matches.

Confidently identify and explain impact

BigPanda Generative AI gives responders easy-to-understand summaries of the full impact of IT incidents across complex, hybrid-cloud infrastructures.

BigPanda Generative AI instantly provides a summary of the incident, detailing the root cause and reasoning.
BigPanda Unified Analytics provides visualizations to show the source of incident data across applications.

Access detailed analytics reports

BigPanda Unified Analytics helps measure, improve, and operationalize root cause analysis and investigation across all applications and services. Understand where and how to improve root-cause detection and incident-response workflows.

Analyst report - Real-world incident management and prevention - Get the report

Automated Root Cause Analysis for ITOps

Gamma logo

“Through the Integration Hub, BigPanda exposed [our] experts and their knowledge in the platform, allowing us to identify the root cause of an incident and reduce the overall time.”

Dan Bartram

Head of Automation and Monitoring, Gamma Communications

Cambia Health Solutions logo

“BigPanda Root Cause Changes gives us a clearer understanding of the underlying causes behind incidents so we can respond more effectively.”

Mark Peterson

Supervisor IT Operations, Cambia Health Solutions

FreeWheel Logo

“BigPanda helps us detect incidents and uncover probable root cause in real time, which has significantly reduced our MTTR by 78%, from 25 hours to 5.5 hours per incident.”

Michael Lorenzo

Senior Director of Operations for the Global NOC, FreeWheel

FAQ

What is root cause analysis (RCA)?

Root cause analysis examines the highest level of a problem to find the root cause. Conducting an RCA lets you accurately identify the source of incidents, identify flawed processes, and discern underlying causes rather than surface symptoms to get to the root of recurring issues early on.

Why use BigPanda Root Cause Analysis?

ITOps teams traditionally perform root-cause analysis after an outage to identify how to prevent similar future outages. BigPanda uses AI and ML to accelerate root-cause analysis and fix problems at the source in real time, significantly reducing mean time to resolution (MTTR).

What is BigPanda Root Cause Changes?

BigPanda Root Cause Changes uses operations-centric AI to accurately and automatically identify change data associated with an incident. Responders gain fast, precise root-cause identification at the time of the incident to instantly uncover crucial details for resolution and reduce MTTR by up to 50%.

How does BigPanda Root Cause Changes work?

BigPanda Root Cause Changes uses AI and Open Box Machine Learning to identify patterns and correlate real-time change data with incidents. BigPanda uses 29 unique vector dimensions to identify high-confidence alerts and change-data matches associated with incident creation. Responders gain a comprehensive view of statistically relevant suspected changes.

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