AIOps Value Realization dashboard
Summarize
Summary of AIOps Value Realization Dashboard
The AIOps Value Realization dashboard, powered by Performance Analytics, provides essential insights into the business outcomes related to alerts, events, and incidents. It enables users to analyze metrics such as noise reduction, average Mean Time to Repair (MTTR) for incidents, and the impact on critical services over specified timeframes.
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Key Features
- Date Range Selection: Users can select various predefined date ranges or specify custom dates for tailored analysis.
- Noise Reduction: Enhances focus on critical issues by compressing events into fewer alerts.
- MTTR Tracking: Monitors average MTTR for incidents, aiding in operational efficiency improvements.
- Operational and Business Impact Sections: Provides categorized insights on alert grouping and service impacts by severity.
- Data Collection: Users need to run the [PA EM] Historic Data Collection job to partially collect historical Event Management data.
Key Outcomes
By utilizing the AIOps Value Realization dashboard, customers can:
- Gain comprehensive visibility into operational efficiency and business impact.
- Optimize incident resolution processes and reduce downtime for critical services.
- Utilize breakdowns on alert management to improve service stability and user satisfaction.
This dashboard is crucial for organizations looking to leverage data-driven insights for enhanced IT operations and decision-making.
The AIOps Value Realization dashboard uses Performance Analytics to offer comprehensive visibility into the business outcomes of alerts, events, and incidents. It features metrics such as noise reduction (events to alerts compression), average MTTR for incidents created by Event Management[var.event-mgmt], and the most critical services impacted by hours.
The AIOps Value Realization dashboard offers key insights and metrics crucial for operational efficiency and business impact assessment. It includes features such as noise reduction to enhance focus on critical issues by reducing event-to-alert conversions. Tracking average MTTR for incidents and measuring downtime on critical services aids in improving operational efficiency and prioritizing resolutions. Categorized into Operational Excellence and Business Impact sections, the dashboard provides detailed coverage on alerts grouping, swift resolution of critical incidents reported by users, and quantifying service impacts by severity to optimize operational stability.
- Navigate to .
- Select [PA EM] Historic Data Collection.
- Select Execute Now.
Prerequisites
Ensure that the Event Management application is installed.
Required ServiceNow AI Platform roles
- evt_mgmt_admin
- evt_mgmt_operator
Use cases
| User | Dashboard use |
|---|---|
| evt_mgmt_admin or admin | Edit the dashboard and grant view and share permissions. |
| evt_mgmt_operator or admin | View the dashboard and review record details to visualize and track the business impact of alerts, events, and incidents. |
Breakdowns
Breakdowns available in the AIOps Value Realization dashboard are:
- Operational Excellence
- Business Impact
Reports
| Title | Type | Description |
|---|---|---|
| Noise reduction (events to alerts compression) | Line graph | The compression rate from events to alert creation: a higher number indicates fewer alerts are being created. |
| Average MTTR incidents created by Event Management | Line graph | The average Mean Time to Repair (MTTR) of an incident created by Event Management: a lower number indicates greater efficiency of your IT team. |
| Most critical services impacted, in hours | Line graph | The total time your organization's most critical business services are impacted: a higher number indicates more time critical services are affected by open alerts. |
| Alerts grouping coverage | Line graph | The percentage of total alerts that are grouped: a higher number indicates more alerts are being correlated and grouped within an alert group. |
| Number of affected services, by severity | Line graph | The number of services impacted by alerts, grouped by severity, such as the count of services experiencing critical issues per day. |
| Number of new P1 incidents on monitored services created by users | Line graph | The number of incidents created on services monitored by Event Management: a lower number indicates fewer users are being impacted by a service outage or performance degradation. |