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Analytics is a vital tool to validate and measure the effectiveness of your monitoring systems and your BigPanda configuration. BigPanda provides both OOTB and custom dashboards to help you identify and visualize trends within your monitoring process.
Unified 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. 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.
Use Unified Analytics to understand and proactively monitor your infrastructure for increased up-time and reduced mean time to resolve (MTTR).
Your organization may not be using this feature yet as it is rolling out to our BigPanda customers through a staged migration. To find out more about the migration requirements and when your organization can move to the new functionality, reach out to us at [email protected].
If your organization is still using the previous analytics, you can learn more about creating reports in the BigPanda Reporting documentation
Give designers across your company the ability to design, filter, and share information on your own design terms.
- Design your own widgets
- Slice data by your own filters
- Share dashboards via the BigPanda user interface or static dashboards to email groups
- Visualize key monitoring metrics across all monitoring tools together
- Metrics are displayed in visually clear, color-coded widgets
- Filters enable you to drill down into specific metrics based on team, tool, or time
- 8 OOTB dashboards for immediate results from day-one that can be customized to your needs
By default, BigPanda offers eight OOTB dashboards on key elements 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 monitoring efficacy.
Users with access to view the Analytics tab are able to toggle between dashboards with a single click. All dashboards can be filtered by Date Granularity, or by additional filters such as source system and incident start time.
If the OOTB dashboards do not reflect your organizational needs, an administrator is able to create custom dashboards to reflect the unique tags and configuration settings you use in BigPanda. These custom dashboards can be created using existing OOTB dashboards as a template, or from scratch. Learn more about adjusting custom reports in the Manage Unified Analytics documentation.
In addition to the Unified Analytics dashboards, BigPanda provides users with a Dashboards tab. The BigPanda Dashboard offers a single, dynamic live view ideal for monitoring operational health in real time. To learn more about the BigPanda Dashboards tab, see the BigPanda Dashboards documentation.
An Analytics Dashboard Designer controls the dashboards visible on the Analytics tab, and not those visible in the Dashboard tab.
Unified Analytics uses standard fields and terminology to describe elements and stages of the incident management process.
BigPanda’s specific definition of these terms is based on industry standards and best practices to help you measure and track business and operational metrics. Read more about specific terminology and how to best leverage analytics metrics in the Unified Analytics Key Metrics documentation.
BigPanda Unified Analytics uses transformed data tables for dashboard metrics and data relationship mapping. These data tables may have been adjusted to fit the custom tags of your organization.
Unified Analytics tables are built on the life cycle of incidents within BigPanda:
- Alerts enter BigPanda
- Alerts are enriched with metadata and enrichment tags
- Alerts are correlated into BigPanda Incidents (Incidents)
- Alerts are further enriched automatically and manually with Incident Tags (Incident Tags)
- The system and users take action on the incident, such as commenting, sharing, and entering or ending the flapping state (Incident Activities)
The Date table is provided in our data model to enable multiple time zone support and is based on Incident Start Date. Customers can request other data fields in their time zone as needed. Standard time zones available in Unified Analytics are UTC, PST, MST, CST, EST, and IST.
For more information on the relationships and data within the data tables, please see the Reporting Data Tables documentation.
All the data from BigPanda is sent through our ETL pipeline and is propagated through Amazon s3 buckets into a redshift database, which is then enabled for reporting via the cached model.
Cached models are cached versions of the tables in our redshift reporting database, enabling lightning analytics dashboards and results.
To view data in real-time, please see the BigPanda Dashboards documentation.
Unified Analytics retains data for the past 12 months.
BigPanda Analytics uses normalized and transformed data tables with additional columns to make it easy to report on incident attributes. See the full Reporting Data Tables for details on available fields.
The fields in the data model are configured during your migration or implementation and cannot be changed by Designers. Reach out to the Unified Analytics Team to add or change any data columns, for example to change time zones, concatenate tag fields, or whitelist specific fields.
Dashboards use reusable formulas based on the field within the data model. BigPanda’s default dashboards include several pre-created formulas using the data columns available. These formulas can be edited or replaced as needed to fit your needs. New formulas can be supported as needed to fit your custom dashboards.
View Unified Analytics dashboards
Learn how to Manage Unified Analytics
Find definitions of Unified Analytics key metrics
Updated 4 days ago