Why managed service providers choose AIOps
MSPs choose BigPanda to maximize efficiency, improve service availability, and deliver measurable value to their clients.
Maximize efficiency and drive growth
Managed service providers can optimize incident discovery and resolution to keep services running. Manage complexity at scale and showcase your value.
Enhance operational efficiency
Unify operational data to automatically reveal the context your teams need. Reduce alert volume, automatically identify root causes, and automate reporting with powerful, pragmatic AI.
Scale through technology
Unlock scalable growth and save costs with an end-to-end AIOps platform. Automate incident management and response to enhance operational efficiency and maximize profit margins.
Improve customer satisfaction
Respond to and resolve incidents more quickly and efficiently to ensure service resiliency, improve uptime, and enhance customer experience. Demonstrate value with out-of-the-box dashboards for better insights and client communication.
“We funnel all our alerts and events through BigPanda prior to incident creation in our ticketing system. This has reduced the number of false positives in our system by 51%.”
“With BigPanda, we have reached an availability number of 99.8%, which is the best on record we have at IHG for our internal systems.”
“The rapid, automated extraction of meaningful insights from our complex IT alert environment not only makes us better at L1 response, but also reduces escalations to our L2 and L3 experts.”
Jeremy Talley
Lead Operations Engineer, Robert Half International
FAQ
As a managed service provider, how can I reduce ITOps costs and improve efficiency?
The BigPanda event correlation and automation platform correlates events and automates operations to reduce alert volume by more than 95% and eliminate repetitive operator tasks. This enables ITOps teams to address a growing volume of data and handle increasing incident volume without growing headcount. Learn more about cost reduction with BigPanda.
How does can I reduce incident MTTR?
Using machine learning to correlate alerts, changes, and topology data, BigPanda detects incidents as they start to form. Early detection reduces the frequency and impact of outages to improve service availability. If outages occur, BigPanda AI surfaces root cause and routes the incident information to the right teams for rapid resolution without unnecessary escalation.
What type of data does BigPanda use to deliver full-context operations?
BigPanda normalizes data from sources including topology, CMDB, and change data to provide full context and optimize team collaboration. Multidimensional alert correlation and AI analysis offer deeper insights and automate root cause analysis for informed decision-making. This approach speeds incident resolution and provides a holistic view of system interconnectivity and operational impacts.
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