BigPanda Analytics

Analytics is an important feature that allows you to get insight into the effectiveness of your IT operations. BigPanda provides a variety of standard and customized reporting options. Analytics and reporting features help you visualize trends and KPIs on the business impact and effectiveness of your IT Ops processes.

BigPanda Analytics also presents real-time statistics on operational health and bandwidth in a single pane. Visualize system-wide severity and status across multiple environments at once, allowing your teams to see overall service health at a glance.

Through rich historical reports and real-time data, you can track recurring incidents and outages, and identify the infrastructure elements or applications causing them. This helps you fix or eliminate them so that your existing IT Ops, NOC, and DevOps teams can handle more incidents than before.

BigPanda Analytics also helps IT Ops teams identify problematic, noisy, or misconfigured tools that generate low-quality alerts.

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BigPanda University Training

Learn how to maximize your Unified Analytics dashboards with the BPU Unified Analytics Course. Learn best practices and advanced dashboard management, and test your knowledge to receive the official BigPanda Unified Analytics Credly badge.

To start the course, you may need to register for or log in to BPU.

Key Features

• Unified Data Model
• Operational Dashboards
• Value Dashboards
• Self-Service Analytics

Unified Data Model

By normalizing event data across your monitoring and collaboration suite, BigPanda is able to track data across tools, teams, and business departments.

BigPanda collects IT Ops data at every stage of the incident management lifecycle, from event ingestion to automated actions and eventual resolution.

In addition, BigPanda also collects detailed data around operator actions such as commenting, snoozing, escalations, and resolution.

BigPanda uses this context-rich data to create a unified data model to make it easy to analyze and report on every element of IT Operations.

Learn more about BigPanda data models in the Standard Data Model, Unified Analytics Reporting Tables, or the Raw Data ETL Schema documentation.

Operational Dashboards

BigPanda Analytics organizes your data into focused dashboards, making it easy to see an overview of monitoring impacts, drill down into specific tools, or identify actionable incident trends. Whether leveraging the real-time Live Dashboards or the extensive historical reporting of Unified Analytics, each dashboard is designed to help your team visualize and act on system trends.

BigPanda’s operational dashboards are based on deep IT Ops experience, and are aligned with industry best practices. These dashboards identify tool health, infrastructure, and team performance trends. Each dashboard is focused on vital metrics such as Mean Time to Resolve, User Actions, and Reporting Tool Efficacy. Each of these dashboards is designed around the unique reporting needs of a busy ITOps team and focuses on data vital to maintaining and improving monitoring efficacy.

Learn more about using operational dashboards in the Live Dashboards or Unified Analytics documentation.

Value Dashboards

Unified Analytics offers use case dashboards that translate IT Ops metrics and KPIs into business impact.

These value case dashboards help teams understand the effectiveness of their monitoring tools, reduce costs by retiring low-quality or redundant tooling, measure and improve the productivity of different IT Ops teams, and help standardize incident response workflows across the organization.

Learn more about using value dashboards in the Unified Analytics documentation.

Self-Service Analytics and Custom Reports

BigPanda Analytics tools are available right in the BigPanda Console, putting the metrics at the fingertips of your team right when they need it.

You can also create and schedule dashboard reports using Report Manager. Reports can be shared via email to stakeholders who may not have access to BigPanda, allowing them to see how KPIs and metrics are trending over time. 

If the metrics and KPIs that BigPanda Analytics focuses on aren’t right for your organization, these tools can be customized to better fit your analytics needs. This adds flexibility as your organization grows and changes. When business requirements change, new tools are integrated, or new lines of business are onboarded, it's easy for your teams to ensure that dashboards, reports, and widgets accurately reflect the situation.

Learn more about customizing and sharing reporting dashboards in the Manage Live Dashboards, Manage Unified Analytics, and Report Manager documentation.

Reporting Tools

BigPanda Analytics includes several tools designed to provide the analytics you need, when you need it.

• Unified Analytics - View and manage reporting dashboards with a dramatically improved reporting structure and robust design.
• Open Analytics Hub - Query and export your BigPanda raw data from Snowflake.
• Dashboards - View real-time incident statuses on a visually simple dashboard designed for display on a NOC monitor.
• ETL - Access raw data in objects through the BigPanda ETL pipeline.

Unified Analytics

Unified Analytics is a reporting platform that allows you to validate and measure the impact of your monitoring systems and BigPanda configuration.

Unified Analytics offers focused dashboards, making it easy to see an overview of monitoring impacts, drill down into specific tools, or identify actionable incident trends. Each dashboard offers an on-demand snapshot of your data for a specific period of time, helping you visualize historical trends in your monitoring data and identify problem areas in your infrastructure.

For more information, see the Unified Analytics documentation.

Open Analytics Hub

If your organization uses the Standard Data Model, you can access the Open Analytics Hub to directly query and export your BigPanda raw data from Snowflake, which powers Unified Analytics. You can then combine it with your other operational data, build your own analyses using external tools, and control the structure of your data in a way that best suits your organization's needs.

See the Open Analytics Hub documentation for more information.

Dashboards

The Dashboards Tab provides a consolidated view of real-time operational health metrics at a glance. The Dashboard is often used in NOC displays to provide an up-to-date view of the latest statuses.

You can configure Dashboards to display data from specific environments and can choose whether the dashboard should focus on severity or workflow status of incidents. Leverage Dashboards to keep your teams focused on only the highest priorities or key infrastructure elements.

For more information, see the Dashboards documentation.

ETL

BigPanda maintains raw data in standard objects that can be accessed through the BigPanda ETL pipeline, or can be exported in CSV format and processed through your own external tools.

The ETL Sync is ideal for sharing data with teams that are already leveraging an existing robust analytics tool, or who have unique data needs.

For more information, see the ETL Sync documentation.

Next Steps

BigPanda analytics includes all the tools you need to track monitoring status in real-time, report on historical IT Ops trends, and investigate monitoring tools and BigPanda configuration efficacy.

Armed with clear metrics and detailed insights, it is easy to identify weak spots in monitoring coverage, noisy tools, and inefficient workflows. Leverage the business and monitoring knowledge of BigPanda Analytics to refine and improve your existing systems and your BigPanda configuration. BigPanda’s Pragmatic AI can provide suggestions based on your historical incidents.

Read more about how BigPanda uses machine learning to make configuration and remediation suggestions in the Advanced Insight Module documentation.

Or, to start investigating your incident management data, check out the Unified Analytics documentation.