Achieve IT cost reduction with AIOps
Improve efficiency, minimize downtime, streamline operations, and reduce IT operating costs by up to 50%.
Streamline workflows and unify tooling to support IT cost reduction
Outdated tools escalate costs, hinder innovation, and pose financial risks. Use BigPanda to optimize your investments and meet IT cost reduction goals.
Keep mission-critical systems running
Correlate alerts, changes, and topology with machine learning to reduce the frequency of outages, resolve incidents faster, and minimize the impact on customers and profits.
Improve team efficiency
Eliminate noise and automate manual tasks — including ticket creation and routing — while keeping teams up-to-date through chat and notification tools. Give teams more time for innovative, revenue-generating projects.
Speed up incident resolution
Automated Incident Analysis uses generative AI to identify root causes, offering actionable insights for quick resolution, minimizing lengthy bridge calls, and enhancing efficiency.
Consolidate tools and find gaps
Identify opportunities to improve strategy or consolidate tools. Use Unified Analytics reports to pinpoint low-quality alert sources and identify underused IT tools while identifying opportunities for improvement.
“Centralizing our operations with AIOps and BigPanda allowed us to have a much earlier MTTD, which gave us a head start to resolve operational incidents. BigPanda keeps our costs down.”
“[AIOps] saves us time, letting us focus on resolving problems instead of combing through thousands of alerts to find the problem. It’s transformational and game‑changing.”
FAQ
How does BigPanda support IT cost reduction and operational efficiency?
BigPanda event correlation and automation reduce alert volume by more than 95% and automate repetitive operator tasks. This enables ITOps teams to manage the growing volume of data and handle a much larger incident volume without increasing headcount. Use our ROI calculator to estimate the return on investment of deploying BigPanda in your environment.
Why does having full context matter in AIOps?
Full context provides a holistic view of system interconnectivity and operational impacts. Teams can find, understand, and resolve incidents faster, more consistently, and at scale. BigPanda enhances incident context by ingesting and normalizing data from diverse sources, including topology, CMDB, and change data for team collaboration.
How does BigPanda support tool consolidation?
Consolidation relies on clear metrics to compare tool quality, actionability, and efficiency. BigPanda Open Integration Hub aggregates alerts from observability and monitoring tools, regardless of vendor. It correlates enriched alerts from your tools into high-level incidents using unique open-box machine learning so that you can detect incidents in real-time and reduce alert noise by more than 90%.
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