Product Outcomes Dashboards
Use the Product Outcomes dashboards to gain insights on BigPanda's impact on your business operation.
Product Outcomes dashboards show you BigPanda’s impact on your noise reduction and overall operational efficiency.
To view the Product Outcomes dashboards, navigate to Unified Analytics and select the Product Outcomes folder.
Within the Product Adoption folder, dashboards are categorized in the Noise Reduction or Operational Efficiency folders.
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.
Noise Reduction Dashboards
Noise reduction dashboards give insight into how well BigPanda is reducing repetitive events to help improve your overall efficiency.
The following dashboards are available in the Noise Reduction folder:
| Dashboard | Description | Duplicable? |
|---|---|---|
| Event Processing | Provides early insight into the success of your BigPanda configurations, even if you just recently started using the platform. | No |
| ITSM Tools | Provides an in-depth analysis of outbound integrations that are receiving BigPanda incidents. | Yes |
Operational Efficiency Dashboards
The following dashboards are available in the Operational Efficiency folder:
| Dashboard | Description | Duplicable? |
|---|---|---|
| MTTx Breakdown | Provides a detailed deep dive into trends and statistics for organizational MTTx measures. | Yes |
| Teams Efficiency | Provides detailed records of user actions and behavior within BigPanda. | Yes |
Next Steps
View Unified Analytics dashboards
Learn how to Manage Unified Analytics
Find definitions of Unified Analytics Key Metrics
Dive into potential reporting fields in Unified Analytics Reporting Tables. If your organization uses the Standard Data Model, you can find these tables in the Standard Data Model documentation.
Updated 3 months ago