BigPanda Unified Data Fabric
Unify fragmented data into a single location to surface critical insights to ITOps and Incident Management teams.
Enrich and expand knowledge across teams
Combine monitoring data, service history, and institutional knowledge from siloed teams and tools to enhance situational awareness during incidents.
Improve decision-making
Automatically combine multi-source, historical, and change data to optimize situational awareness, delivering AI-powered insights directly within your workflows for smarter, faster, and better-informed incident investigations.
Maximize value
BigPanda Unified Analytics combines siloed data and processes with data-driven, customizable out-of-the-box dashboards to identify gaps and maximize the value of your tool investments.
Enhance visibility across IT infrastructures
Integrate fragmented tools to create a cohesive view to enhance performance monitoring, identify issues quickly, and uncover optimization opportunities.
Lower costs
Aggregate, normalize, filter, and correlate data and knowledge across silos into a unified view to drive efficiencies across response teams and their workflows.
Why BigPanda
Integrate data and knowledge across silos
Combine machine data (observability) and human knowledge (service history, SOPs, and chat transcripts) to provide an unprecedented understanding of your IT infrastructure and operations—both past and present.
Standardize data formatting
BigPanda standardizes and processes all data types so they can be analyzed for trends and patterns associated with active incidents. Then, it surfaces them to operations and response teams so they can resolve them faster.
Enrich & share IT knowledge
Provide relevant, critical insights to each user and IT team involved in incident management processes to enrich team knowledge and improve their ability to investigate and respond quickly.
Rapid situational awareness
“Not only can we see the alerts, but we can evaluate them using correlation that recognized patterns, connected alerts, and led to fewer incidents”
Gain critical visibility
“Centralizing our operations with AIOps and BigPanda allowed us to have a much earlier MTTD (mean time to detection), which gave us a head start to resolve operational incidents.”
FAQ
What data is included in the Unified Data Fabric?
BigPanda Unified Data Fabric unifies all the data and context you can provide, including monitoring data, changes, topology, open and past ITSM history, and informal and institutional knowledge, like SOP documentation and chat transcripts. This data and knowledge from siloed teams are combined in a single location in a standardized format for processing.
Does the information in the Unified Data Fabric become available for reporting and analytics?
BigPanda Unified Analytics provides ITOps and Incident Management teams with the AIOps insights and analytics they need to drive improvements to operational efficiency and service reliability. Eight OOTB dashboards help you gather more insights into your IT operations and see how you are efficiently scaling. These dashboards report on key performance metrics, including MTTx, tool efficiency, and platform usage. Get a full list of the standard dashboards available.
How does BigPanda use AI to manage and synthesize the data in the Unified Data Fabric?
Generative AI can automatically analyze and summarize incidents, identify patterns, suggest root cause in real time, and provide valuable insights to operators. It can also act as a smart assistant for ITOps and Incident Management teams to help them make faster, smarter decisions. By integrating with your unique topology and data, BigPanda’s GenAI capabilities deliver valuable insights faster than manual review. GenAI summaries provide enriched analysis with change data, historical context, and correlation, helping operators make informed decisions quickly during triage.