BigPanda Standard Data Model (SDM) V2
BigPanda Analytics
The Standard Data Model V2 is available to organizations that are using the new BigPanda Analytics. See the Analytics documentation for more information.
BigPanda’s Standard Data Model (SDM) defines the data elements available in all template and custom Analytics dashboards. BigPanda Analytics uses transformed data tables for report metrics and data relationship mapping. These tables are built based on the life cycle of incidents within BigPanda.
Understanding the data model and data elements is key to building powerful custom dashboards that can help you visualize, track, and understand your operational metrics.
Key features of SDM include:
Pre-defined joins that automatically connect the data tables into a single object view
Standardized terms and metrics to drive consistency across the platform
Pre-aggregated calculations that allow you to quickly see results rather than waiting for queries to return
Full management and support by BigPanda to ensure maximum uptime and access

Tables
These tables are available for all BigPanda customers.
ADR tables
The following tables are only available if your organization has AI Detection and Response (ADR).
AI Incident Assistant and Prevention tables
The following tables are only available if your organization has AI Incident Assistant or AI Incident Prevention.
IA_IP_USERS (IA and IP)
IA_MIM_EXECUTIONS (IA)
IA_MIM_TEMPLATES (IA)
ACTIVITIES
Actions taken on BigPanda incidents.
Column Name | Column Description | Data Type |
|---|---|---|
ACTIVITY_COMMENT | Comment included with an activity. | VARCHAR |
ACTIVITY_CREATOR_USER_ID | ID of the user responsible for the activity. | VARCHAR |
ACTIVITY_ENVIRONMENT | Name of the environment where the activity took place. | VARCHAR |
ACTIVITY_ID | Unique identifier of the activity. | VARCHAR |
ACTIVITY_START_TIMESTAMP_UTC | UTC timestamp of when the activity started. | DATE_TIME |
ACTIVITY_TYPE | Type of activity. One of:
| VARCHAR |
ACTIVITY_USER_NAME | User name of the user responsible for the activity. | VARCHAR |
ASSIGNEE_USER_NAME | User name of the user assigned to an incident | VARCHAR |
INCIDENT_ID | Unique identifier of the incident. | VARCHAR |
SHARE_AUTO | Whether or not the incident was automatically shared. | BOOLEAN |
SHARE_INTEGRATION_TYPE | Outbound integration type to which the incident was shared. | VARCHAR |
SHARE_TARGET | Downstream incident response tool that received the incident. | VARCHAR |
ALERTS
Each alert is the aggregated group of deduplicated events in BigPanda. See Events to Incidents Lifecycle for more information.
Column Name | Column Description | Data Type |
|---|---|---|
ALERT_DEDUP_KEY | Field used to identify duplicate incoming alerts. Uses either a combination of Primary and Secondary properties or a direct incident identifier. | VARCHAR |
ALERT_DESCRIPTION | Detailed explanation of why an alert was triggered, offering more characters than other BigPanda tags. | VARCHAR |
ALERT_DURATION_MINS | Duration of the alert, in minutes. | INT64 |
ALERT_END_TIMESTAMP_UTC | UTC timestamp of when the alert ended. | DATE_TIME |
ALERT_HAS_MAINTENANCE | Whether the alert was ever suppressed by a maintenance plan. | BOOLEAN |
ALERT_HIGHEST_STATUS | Highest status that the alert ever achieved. | VARCHAR |
ALERT_ID | Unique identifier of the alert. | VARCHAR |
ALERT_PREV_START_TIMESTAMP_UTC | UTC timestamp of when an alert last fired. | DATE_TIME |
ALERT_PRIMARY_PROPERTY_KEY | Primary key for unique alert identification in BigPanda; helps define deduplication keys and influences alert display. This field often aligns with the secondary property and can be the same as the ALERT_DEDUP_KEY, but is adjustable for deduplication. | VARCHAR |
ALERT_RESOLUTION_TYPE | Defines how an alert was resolved, indicating whether it was through manual actions (via API or UI), automatic processes, or external systems. Common values include manual-api, manual-ui, resolved, external-api, auto-resolve, and unresolved. | VARCHAR |
ALERT_SECONDARY_PROPERTY_KEY | Secondary key for unique alert identification in BigPanda; helps define deduplication keys. | VARCHAR |
ALERT_START_TIMESTAMP_UTC | UTC timestamp of when an alert first opened in BigPanda. | DATE_TIME |
ALERT_STATUS | Current status of an alert. One of: OK, Critical, Warning. | VARCHAR |
ALERT_UPDATED_TIMESTAMP_UTC | UTC timestamp of the last time an alert had an update. | DATE_TIME |
BP_ALERT_QUALITY | Quality of alerts calculated by BigPanda using normalized tags. Possible categories include: High Quality Alerts: The most actionable type of alert with all important data needed for a team to triage and resolve the alert. High quality alerts usually include data on both technical and business context. Medium Quality Alerts: An alert that contains the minimum level of information and technical context to support operator action. These alerts lack some valuable elements such as business context, dependencies, or resolution steps. Low Quality Alerts: Alerts that lack key information or which were identified as irrelevant or misconfigured. | VARCHAR |
EVENT_COUNT | Total number of events within an alert. The event count number is calculated before deduplication and event marshaling. | INT64 |
INCIDENT_ID | Unique identifier of the BigPanda incident. Key used to connect the incident table. | VARCHAR |
INTEGRATION_TYPE | Integration type that sent events to BigPanda. | VARCHAR |
IS_PRIMARY_ALERT | Whether the alert is the primary alert. | BOOLEAN |
IS_PRIMARY_MANUALLY_SET | Whether the primary alert was manually set. | BOOLEAN |
SOURCE_SYSTEM | Monitoring system that sent the alert. | VARCHAR |
ALERT_TAGS
Column Name | Column Description | Data Type |
|---|---|---|
ALERT_ID | Unique identifier of the BigPanda alert. | VARCHAR |
Alert tags | String value of an alert tag, defined by the column name. The alert tags listed in Analytics reporting are dynamic and depend on your organization’s enrichment tags. Alert tags always start with an underscore ( Each tag will have its own value column. For example, you may see columns for | VARCHAR |
CHANGES
Root Cause Changes (RCC) leverages existing incident and change data in a weighted vector algorithm to identify the connections between alerts and change data and surface suspected root cause changes.
Column Name | Column Description | Data Type |
|---|---|---|
CHANGE_CREATED_TIMESTAMP_UTC | UTC timestamp of when the change was created. | DATE_TIME |
CHANGE_DURATION_MINUTES | Duration of the change in minutes. | INT64 |
CHANGE_END_TIMESTAMP_UTC | UTC timestamp of when the change ended. | DATE_TIME |
CHANGE_ID | Unique identifier of the change, created by BigPanda. | VARCHAR |
CHANGE_IDENTIFIER | Identifies unique changes sent to BigPanda from a source system. | VARCHAR |
CHANGE_INTEGRATION_TYPE | Type of integration used to connect the change source system to BigPanda. | VARCHAR |
CHANGE_SOURCE_SYSTEM | Change management system sending change events to BigPanda. | VARCHAR |
CHANGE_START_TIMESTAMP_UTC | UTC timestamp of when the change started. | DATE_TIME |
CHANGE_STATUS | Status of the change. One of:
| VARCHAR |
CHANGE_SUMMARY | High-level summary of the change captured from the source system. | VARCHAR |
CHANGE_TICKET_URL | Direct URL to the source change system ticket. | VARCHAR |
CHANGE_TOTAL_EVENTS | Count of distinct change events compressed into a single change in BigPanda | INT64 |
CHANGE_UPDATED_TIMESTAMP_UTC | UTC timestamp indicating when the change last updated with a change event. | DATE_TIME |
CHANGE_EVENTS_UPDATES
Updates made to change events.
Column Name | Column Description | Data Type |
|---|---|---|
CHANGE_EVENTS_COUNT | Count of distinct change events compressed into a single change in BigPanda. | INT64 |
CHANGE_EVENTS_UPDATED_DATE | Date when this batch of change events was last updated for the parent change. | DATE_TIME |
CHANGE_ID | Unique change identifier created by BigPanda. | VARCHAR |
ENRICHMENTS
Mapping enrichment imports dynamic contextual information from external sources and adds that data to matching alerts.
Column Name | Column Description | Data Type |
|---|---|---|
ENRICHMENT_ALERT_ID | Unique identifier of the enriched alert. | VARCHAR |
ENRICHMENT_ID | Unique identifier for a single alert enrichment application in BigPanda. | VARCHAR |
ENRICHMENT_MAP_UPDATE_TIMESTAMP_UTC | UTC timestamp of when the enrichment map was last updated. | DATE-TIME |
ENRICHMENT_NAME | Name of the enrichment rule or enrichment map applied to the alert. | VARCHAR |
ENVIRONMENTS
BigPanda Environments group related incidents together for improved automation and visibility.
Column Name | Column Description | Data Type |
|---|---|---|
ENVIRONMENT_ID | Unique identifier for a single alert enrichment application in BigPanda. | VARCHAR |
ENVIRONMENT_NAME | Name of the enrichment rule or enrichment map applied to the alert. Sourced from the enrichment configuration in BigPanda. | VARCHAR |
INCIDENT_ID | Unique identifier of the incident. | VARCHAR |
EVENT_VOLUME
An event is a point in time that represents the state of a service, application, or infrastructure component.
Column Name | Column Description | Data Type |
|---|---|---|
ALERT_ID | Unique identifier of the alert. | VARCHAR |
CREATED_AT | Time when the event was created. | DATE_TIME |
EVENT_COUNT | Total number of events within an alert. | INT64 |
EVENT_STATUS | The event process status. | VARCHAR |
INCIDENT_ID | Unique identifier of the incident. | VARCHAR |
IS_ALERTS | Whether the event row is associated with an alert. | BOOLEAN |
IS_INCIDENTS | Whether the event row is associated with an incident. | BOOLEAN |
SOURCE_SYSTEM | The human-entered name of the observability tool sending events to BigPanda. | VARCHAR |
INCIDENTS
An incident is the correlation of one or more alerts that represent an issue that can impact the business through a service disruption. It represents a high-level issue in your system.
Column Name | Column Description | Data Type | |
|---|---|---|---|
AUTO_SHARE_COUNT | Number of times an incident was AutoShared. | INT64 | |
BP_INCIDENT_CLOSURE | Categorizes incident resolution methods in BigPanda, detailing how operations teams handle and resolve issues. Based on actions, incidents are categorized as:
| VARCHAR | |
BP_INCIDENT_OUTLIER | Identifies incidents as outliers based on BigPanda's MTTx metric logic: assign time over a day, engage time over a day, or resolution time over a week. | VARCHAR | |
BP_INCIDENT_RESOLUTION_BUCKET | Incidents are placed in resolution buckets depending upon the time to resolve. Resolution buckets include the following:
| VARCHAR | |
CORRELATION_PATTERN | Correlation pattern used to correlate alerts into the incident. | VARCHAR | |
CORRELATION_PATTERN_WINDOW | Time window for correlation patterns in incidents. | DOUBLE | |
FIRST_ACTION_TIMESTAMP_UTC | UTC timestamp marking when an incident was first actioned. | DATE_TIME | |
FIRST_ACTION_TYPE | Initial action taken to progress an incident, categorized as assign, comment, or share. | VARCHAR | |
FIRST_AIA_TIMESTAMP_UTC | UTC timestamp of when the first AIA action took place on the incident. | DATE_TIME | |
FIRST_MANUAL_ACTIVITY_TIMESTAMP_UTC | UTC timestamp of when the first manual action on the incident took place. | DATE_TIME | |
FIRST_MANUAL_ACTIVITY_TYPE | The type of action first manually taken on the incident. | VARCHAR | |
FIRST_MANUAL_ACTIVITY_USER_NAME | The name of user who performed the first manual action on the incident. | VARCHAR | |
FIRST_MANUAL_SHARE_TIMESTAMP_UTC | UTC timestamp of when the incident was first manually shared. | DATE_TIME | |
FLAPPING_STATE | Whether or not the related incident is flapping.
| VARCHAR | |
HAS_SUGGESTED_CHANGE | Whether or not the incident has a suggested change. | BOOLEAN | |
INCIDENT_CREATED_TIMESTAMP_UTC | UTC timestamp when the incident was created. | DATE_TIME | |
INCIDENT_END_TIMESTAMP_UTC | UTC time when the incident ended. | DATE_TIME | |
INCIDENT_HIGHEST_STATUS | Highest status the incident achieved. | VARCHAR | |
INCIDENT_HYPERLINK | URL link to the BigPanda incident. | VARCHAR | |
INCIDENT_ID | Unique ID of the BigPanda incident. | VARCHAR | |
INCIDENT_NUM_OF_ALERTS | Number of alerts in the incident. | INT64 | |
INCIDENT_START_TIMESTAMP_UTC | UTC timestamp when the incident started. | DATE_TIME | |
INCIDENT_STATUS | Current incident status in BigPanda. | VARCHAR | |
INCIDENT_UPDATED_TIMESTAMP_UTC | UTC timestamp when the incident was last updated. | DATE_TIME | |
IS_ACTIONED | Whether the incident was actioned. | BOOLEAN | |
IS_AIA | Whether AIA was invoked on an incident. | BOOLEAN | |
MANUAL_CORRELATION | Indicates manual intervention in incidents via split or merge actions, deactivating correlation patterns. True if splits or merges occur or the activity type is | VARCHAR | |
TIME_TO_ASSIGN_MINS | Amount of time it took to assign the incident, in minutes. | DOUBLE | |
TIME_TO_ENGAGE_MINS | Time in minutes from incident start to first engagement | DOUBLE | |
TIME_TO_RESOLVE_MINS | Amount of time it took to resolve the incident, in minutes. | DOUBLE | |
TIME_TO_SHARE_MINS | Amount of time it took to first share the incident, in minutes. | DOUBLE | |
TOTAL_MERGES | Count of incidents merged into each other. | INT64 | |
TOTAL_SPLIT | Count of incidents split from a primary incident. | INT64 |
INCIDENT_TAGS
Incident tags are key-value pairs that can be added to incidents for incident-level enrichment.
Column Name | Column Description | Data Type |
|---|---|---|
INCIDENT_ID | Unique identifier of the incident | VARCHAR |
_ITD_AI_REASONING_1 | Reasoning behind the AI summary. | VARCHAR |
_ITD_AI_ROOT_CAUSE_1 | Root cause from the AI summary. | VARCHAR |
_ITD_AI_SUMMARY_1 | AIA Summary. | VARCHAR |
_ITD_AI_TITLE_1 | Title from the AI summary. | VARCHAR |
_ITD_PRIORITY_1 | Priority generated in the AI summary. | VARCHAR |
ITSM_INCIDENTS
Information about incidents from an ITSM system.
Column Name | Column Description | Data Type |
|---|---|---|
AFFECTED_SERVICE | IT or business service impacted by the ticket. | VARCHAR |
ASSIGNED_TO | Individual user currently assigned to work on the ticket. Changes each time the ticket is reassigned. | VARCHAR |
ASSIGNMENT_GROUP | Support team or functional group responsible for resolving the ticket. | VARCHAR |
BP_INCIDENT | BigPanda incident ID linked to this ticket via the BigPanda-ITSM integration. | VARCHAR |
BRAND_CATEGORY | Customer-specific classification that categorizes tickets by business brand, product line, or organizational division. | VARCHAR |
BUSINESS_DURATION | Elapsed business-hours duration of the ticket, stored as a timestamp offset. | DATE-TIME |
BUSINESS_DURATION_DISPLAY_VALUE | Human readable display of the business hours duration for the ticket. Calculated using the customer's SLA schedule, excluding time in on-hold or paused states. | VARCHAR |
BUSINESS_IMPACT | Assessed level of business impact caused by the ticket. | VARCHAR |
CALLER_ID | ID of the person who reported or requested the ticket. | VARCHAR |
CATEGORY | Primary topic classification of the ticket. | VARCHAR |
CAUSED_BY_CHANGE | Identifies if the root cause of the incident was related to a change. | VARCHAR |
CLOSE_CODE | Resolution code selected by the user when they closed the ticket. | VARCHAR |
CLOSE_NOTES | Free-text notes entered by the resolver when closing the ticket, documenting the resolution steps taken, root cause findings, or final status. | VARCHAR |
CMDB_CI | Configuration item associated with the ticket’s ITSM CMDB. | VARCHAR |
CONTACT_TYPE | Channel through which the ticket was reported. | VARCHAR |
DESCRIPTION | Full detailed description of the ticket, either auto-populated by BigPanda, from the monitoring tools, or manually input by the ticket opener. | VARCHAR |
IMPACT | Impact classification used in priority matrix calculation. | VARCHAR |
ITSM_CONNECTOR_TIMESTAMP_UTC | UTC timestamp of the last data synchronization from the ITSM system via the BigPanda connector. | VARCHAR |
ITSM_CONNECTOR_TYPE | Type of BigPanda integration connector used to ingest this ticket, or a native integration type. | VARCHAR |
ITSM_ENDED_TIMESTAMP_UTC | UTC time when the incident ended. | DATE_TIME |
ITSM_ID | The source ITSM system’s internal record identifier for the ticket. | VARCHAR |
ITSM_NUMBER | Human-readable ticket number from the source ITSM system. | VARCHAR |
ITSM_SOURCE_NAME | Name of the ITSM platform instance that generated this ticket. | VARCHAR |
ITSM_STARTED_TIMESTAMP_UTC | UTC time when the incident started. | DATE_TIME |
ITSM_UPDATED_TIMESTAMP_UTC | UTC time when the incident was last updated. | DATE_TIME |
MADE_SLA | Whether the ticket was resolved within the target SLA timeframe. | BOOLEAN |
MAJOR_INCIDENT_STATE | Whether the incident was defined as major. | VARCHAR |
OPENED_BY | User who created the ticket record in the ITSM system. | VARCHAR |
OPENED_BY_TYPE | Whether the ticket was opened by BigPanda, an automated system, or a human. | VARCHAR |
PARENT_INCIDENT | Ticket number of a parent incident if this ticket is tracked as a child ticket. Used to group related tickets under a single parent. | VARCHAR |
PRIORITY | Calculated priority of the ticket, commonly derived from the intersection of Impact and Urgency in the priority matrix. | VARCHAR |
PROBLEM_ID | Problem record ID linked to this ticket, indicating the ticket is associated with a known problem. | VARCHAR |
REASSIGNMENT_COUNT | Number of times the ticket was reassigned to a different group or individual during its lifecycle. | VARCHAR |
REOPEN_COUNT | Number of times the ticket was reopened after being resolved or closed. | VARCHAR |
RESOLVED_BY | User or system that resolved the ticket, recorded when the ticket transitions to a resolved state. | VARCHAR |
SHORT_DESCRIPTION | Concise one line summary of the ticket, typically visible in list views and dashboards. | VARCHAR |
STATE | Current lifecycle state of the ticket in the ITSM workflow, such as New, In Progress, On Hold, Resolved, or Closed. | VARCHAR |
SUBCATEGORY | Secondary classification beneath the CATEGORY field. | VARCHAR |
TTR_SECONDS | Time to resolve the ticket measured in seconds, calculated from ticket creation to resolution in the ITSM system. | INT64 |
URGENCY | Urgency classification indicating how quickly the issue needs to be addressed. | VARCHAR |
WORK_NOTES | Internal notes added by support staff during the ticket lifecycle, documenting troubleshooting steps, escalation actions, and status updates. | VARCHAR |
MAINTENANCE
Maintenance plans used to suppress alerts in BigPanda.
Column Name | Column Description | Data Type |
|---|---|---|
MAINTENANCE_PLAN_CREATED_BY | User or system that created the maintenance plan in BigPanda. | VARCHAR |
MAINTENANCE_PLAN_CREATED_TIMESTAMP_UTC | UTC timestamp when the maintenance plan was created. | DATE_TIME |
MAINTENANCE_PLAN_DESCRIPTION | Detailed explanation of the maintenance plan, including context about the scheduled maintenance activities. | VARCHAR |
MAINTENANCE_PLAN_END_TIMESTAMP_UTC | UTC timestamp when a maintenance window is scheduled to end. | DATE_TIME |
MAINTENANCE_PLAN_FREQUENCY | Frequency or recurrence pattern of the maintenance plan. | VARCHAR |
MAINTENANCE_PLAN_ID | Unique identifier of the BigPanda maintenance plan. | VARCHAR |
MAINTENANCE_PLAN_KEY | Human-readable identifier for the maintenance plan. | VARCHAR |
MAINTENANCE_PLAN_NAME | Descriptive name for a maintenance plan, identifying the purpose or scope of the scheduled maintenance window. | VARCHAR |
MAINTENANCE_PLAN_START_TIMESTAMP_UTC | UTC timestamp marking when a maintenance window is scheduled to begin. | DATE_TIME |
SUPPRESS_ALERT_ID | Unique identifier of the suppressed alert. | VARCHAR |
SESSIONS
Users individual logged in sessions in BigPanda.
Column Name | Column Description | Format |
|---|---|---|
LOGIN_SESSION_ID | Unique identifier for a single user login session in BigPanda. | VARCHAR |
LOGIN_TIMESTAMP | UTC timestamp when the user logged in. | DATE-TIME |
LOGIN_USER_ID | Unique ID of the user who logged in. | VARCHAR |
SUSPECTED_CHANGES
Changes that Root Cause Changes (RCC) suspected may have caused the incident.
Column Name | Column Description | Data Type |
|---|---|---|
CHANGE_CATEGORY | RCC category that aligns with the change suggestion. | VARCHAR |
CHANGE_CATEGORY_VALUE | RCC value that aligns with change match logic, detailing the specific match value driving change suggestions. | VARCHAR |
CHANGE_ID | Unique identifier of the change, assigned by BigPanda. | VARCHAR |
CHANGE_MATCH_CERTAINTY | Confidence in matching the change to an incident. | VARCHAR |
CHANGE_MATCH_USER_NAME | Name of the user who performed a manual match action. | VARCHAR |
CHANGE_SCORE | Suspected change causation score indicates the strength of the relationship between a change and an incident, calculated by BigPanda. | DOUBLE |
CHANGE_SUGGESTED_BY_BIGPANDA | Indicates whether a change suggestion was initiated by BigPanda | BOOLEAN |
INCIDENT_ID | Unique identifier of the incident. | VARCHAR |
USERS
Tracks User accounts in BigPanda.
Column Name | Column Description | Data Type |
|---|---|---|
USER_CREATED_TIMESTAMP_UTC | UTC timestamp indicating when the user was created in BigPanda. | DATE_TIME |
USER_DELETED | Whether or not the user was deleted. | BOOLEAN |
USER_EMAIL | Email address of the user. | VARCHAR |
USER_FIRST_LOGIN_TIMESTAMP_UTC | UTC timestamp of when the user first logged in. | DATE_TIME |
USER_ID | Unique identifier of the user. | VARCHAR |
USER_LAST_LOGIN_TIMESTAMP_UTC | UTC timestamp of the last time the user logged in. | DATE_TIME |
USER_NAME | The user's name. | VARCHAR |
USER_ROLES | BigPanda roles assigned to the user. | VARCHAR |
USERS_ROLES
Roles dictate access to resources.
Column Name | Column Description | Data Type |
|---|---|---|
CREATED_AT | Time when the user role was created. | DATE-TIME |
CREATED_BY | User who created the role. | VARCHAR |
ROLE_ID | Unique identifier of the role. | VARCHAR |
ROLE_NAME | Name of the role. | VARCHAR |
UPDATED_AT | Time when the role was last updated. | DATE-TIME |
USER_ID | Unique identifier of the user who has the role. | VARCHAR |
ADR_RECOMMENDATIONS
This table is only available if your organization has AI Detection and Response (ADR).
Information about incident recommendations. One row appears per recommendation on an incident.
Column Name | Column Description | Data Type |
|---|---|---|
EXECUTION_ID | Unique identifier of the recommendation. | VARCHAR |
INCIDENT_ID | BigPanda incident for which the recommendation was generated. | VARCHAR |
RESOURCE_ID | Identifier of the resource the recommendation targets (For example, the ITSM ticket). | VARCHAR |
RESOURCE_TYPE | Type of the targeted resource. | VARCHAR |
RECOMMENDATION_TRIGGER_TYPE | What triggered the recommendation. | VARCHAR |
RECOMMENDATION_AGENT_VERSION | Version of the recommendation agent that produced the output. | VARCHAR |
RECOMMENDATION_LATENCY_MS | The time the agent took to produce the recommendation in milliseconds. | INT64 |
RECOMMENDATION_SUCCESS | Whether the recommendation run was completed successfully. | BOOLEAN |
RECOMMENDATION_ERROR | Error detail when the run failed. | VARCHAR |
SHOULD_SNOOZE | Whether the agent recommended snoozing the incident. | BOOLEAN |
SNOOZE_TIME_MINUTES | Recommended snooze duration, in minutes. | INT64 |
SHOULD_HAVE_BEEN_SUPPRESSED | Whether it was recommended that the incident be been suppressed. | BOOLEAN |
SUPPRESSION_VERDICT_REASONING | Reasoning behind the suppression verdict. | VARCHAR |
RECOMMENDED_ASSIGNMENT_GROUP | Assignment group recommended for the incident. | VARCHAR |
RECOMMENDED_ASSIGNMENT_GROUP_REASONING | Reasoning behind the recommended assignment group. | VARCHAR |
RECOMMENDATION_OPTIONS | Full set of recommendation options produced. | VARCHAR |
RECOMMENDATION_EVIDENCE_SOURCES | Evidence sources drawn from for recommendations. | VARCHAR |
RECOMMENDATION_SIMILAR_INCIDENTS | Similar incidents referenced in the recommendation. | VARCHAR |
RECOMMENDATION_DISPLAY_MESSAGE | Human-readable recommendation message shown to operators. | VARCHAR |
SIMILAR_INCIDENTS_COUNT | Number of similar incidents found. | INT64 |
HAS_SIMILAR_INCIDENTS | Whether any similar incidents were found. | BOOLEAN |
TOP_SIMILAR_INCIDENT_ASSIGNMENT_GROUP | Assignment group of the most similar past incident. | VARCHAR |
TOP_SIMILAR_INCIDENT_SIMILARITY | Similarity score of the top matching incident. | DOUBLE |
ASSIGNMENT_GROUP_OPTION_1 | First-ranked recommended assignment-group option. | VARCHAR |
ASSIGNMENT_GROUP_OPTION_2 | Second-ranked recommended assignment-group option. | VARCHAR |
ASSIGNMENT_GROUP_OPTION_3 | Third-ranked recommended assignment-group option. | VARCHAR |
RECOMMENDED_EVIDENCE_SOURCES_SUMMARY | Summary of the evidence sources behind the recommendation. | VARCHAR |
IS_FIRST_EXECUTION | Whether this is the first agent execution for the incident. | BOOLEAN |
RESOLVER_ASSIGNMENT_GROUP | Assignment group that resolved the incident. | VARCHAR |
IS_EVALUABLE | Whether the recommendation can be evaluated against the actual resolver (requires ITSM resolution data). | BOOLEAN |
RESOLVER_HIT_EXACT | Whether the recommended assignment group exactly matched the resolving group. | BOOLEAN |
RESOLVER_SIMILARITY | Similarity between the recommended group and the actual resolving group. | DOUBLE |
RESOLVER_ACCURACY_BUCKET | Bucketed accuracy of the recommendation versus the actual resolver. | VARCHAR |
META__PROCESSING_TIME | Pipeline processing timestamp for the record. | DATE_TIME |
META__RECORD_TIME | Source record timestamp. | DATE_TIME |
ADR_AGENT_METERING
This table is only available if your organization has AI Detection and Response (ADR).
Per-stage metering of agent output for an incident.
Column Name | Column Description | Data Type |
|---|---|---|
METERING_EVENT_ID | Unique identifier of the metering event. | VARCHAR |
METERING_STAGE | Agent pipeline stage of the metering event. | VARCHAR |
AGENT_OUTPUT_TYPE | Type of output the agent produced at this stage. | VARCHAR |
AGENT_OUTPUT | The agent's output payload. | VARCHAR |
AGENT_OUTPUT_ID | Identifier of the agent output. | VARCHAR |
AUTOMATION | Automation associated with the agent output. | VARCHAR |
CALLER | System or component that invoked the agent. | VARCHAR |
INCIDENT_ID | Incident the event relates to. | VARCHAR |
LLM_TRACE_ID | Trace identifier of the underlying LLM call. | VARCHAR |
EVENT_TIME | Timestamp of the event. | DATE_TIME |
ADR_FEEDBACK
This table is only available if your organization has AI Detection and Response (ADR).
Operator feedback on ADR agent outputs.
Column Name | Column Description | Data Type |
|---|---|---|
FEEDBACK_ID | Unique identifier of the feedback record. | VARCHAR |
INCIDENT_ID | Incident associated with the feedback. | VARCHAR |
EXECUTION_ID | Recommendation associated with the feedback. | VARCHAR |
ENVIRONMENT_ID | Environment the incident belongs to. | VARCHAR |
FEEDBACK_AGENT_TYPE | Which agent surface received the feedback. | VARCHAR |
FEEDBACK_ASSIGNMENT_GROUP | Assignment group associated with the feedback. | VARCHAR |
FEEDBACK_INTEGRATION_SYSTEM_ID | Source integration or system identifier for the feedback. | VARCHAR |
FEEDBACK_IS_HELPFUL | Whether the operator marked the agent output helpful. | BOOLEAN |
FEEDBACK_REASON | Reason the operator gave for the feedback. | VARCHAR |
FEEDBACK_TYPE | Category of feedback. | VARCHAR |
FEEDBACK_USER_ID | ID of the user who gave the feedback. | VARCHAR |
FEEDBACK_USER_NAME | Name of the user who gave the feedback. | VARCHAR |
FEEDBACK_EVENT_TIMESTAMP_UTC | UTC timestamp when the feedback was given. | DATE_TIME |
IA_IP_USERS
This table is only available if your organization has AI Incident Assistant or AI Incident Prevention.
Users of the Incident Assistant / Incident Prevention surfaces, with onboarding and channel-identity attributes.
Column Name | Column Description | Data Type |
|---|---|---|
USER_ID | Unique identifier of the user. | VARCHAR |
USER_EMAIL | Email address of the user. | VARCHAR |
USER_TITLE | Job title of the user. | VARCHAR |
USER_ROLE | Role of the user. | VARCHAR |
USER_TEAM_ID | Identifier of the user's team. | VARCHAR |
USER_TEAM_NAME | Name of the user's team. | VARCHAR |
USER_HAS_USED_BIGGY | Whether the user has used Biggy. | BOOLEAN |
USER_INFORMED_OF_ONBOARDING | Whether the user has been informed of onboarding. | BOOLEAN |
USER_ONBOARDING_CURRENT_STEP | Current step in the user's onboarding flow. | VARCHAR |
USER_ONBOARDING_IS_COMPLETED | Whether the user completed onboarding. | BOOLEAN |
USER_ONBOARDING_QUERY_ALLOWANCE_WINDOW_TIMESTAMP_UTC | UTC timestamp of the user's onboarding query allowance window. | DATE_TIME |
USER_FIRST_QUERY_RUN | Whether the user has run their first query. | BOOLEAN |
USER_FIRST_QUERY_FEEDBACK | Feedback the user gave on their first query. | VARCHAR |
USER_SECOND_QUERY_RUN | Whether the user has run their second query. | BOOLEAN |
USER_SECOND_QUERY_FEEDBACK | Feedback the user gave on their second query. | VARCHAR |
USER_SLACK_TEAM_ID | Slack team (workspace) ID for the user. | VARCHAR |
USER_SLACK_USER_ID | Slack user ID. | VARCHAR |
USER_MS_TEAMS_TENANT_ID | Microsoft Teams tenant ID for the user. | VARCHAR |
USER_MS_TEAMS_USER_ID | Microsoft Teams user ID for the user. | VARCHAR |
USER_CREATED_TIMESTAMP_UTC | UTC timestamp when the user record was created. | DATE_TIME |
USER_UPDATED_TIMESTAMP_UTC | UTC timestamp when the user record was last updated. | DATE_TIME |
IA_MIM_EXECUTIONS
This table is only available if your organization has AI Incident Assistant.
Major Incident Management (MIM) runs launched for an incident.
Column Name | Column Description | Data Type |
|---|---|---|
MIM_EXECUTION_ID | Unique identifier of the MIM execution. | VARCHAR |
MIM_EXECUTION_STATUS | Current status of the MIM execution. | VARCHAR |
MIM_TEMPLATE_ID | Identifier of the MIM template used. | VARCHAR |
MIM_TEMPLATE_NAME | Name of the MIM template used. | VARCHAR |
INCIDENT_ID | Incident the MIM execution ran against. | VARCHAR |
ENVIRONMENT_ID | Environment of the incident. | VARCHAR |
INCIDENT_TITLE | Title of the incident at execution time. | VARCHAR |
INCIDENT_PRIORITY | Priority of the incident. | VARCHAR |
INCIDENT_ENVIRONMENT | Environment name of the incident. | VARCHAR |
INCIDENT_REGION | Region of the incident. | VARCHAR |
MIM_EXECUTION_IS_DEMO | Whether the execution was a demo. | BOOLEAN |
MIM_EXECUTION_IS_DELETED | Whether the execution was deleted. | BOOLEAN |
MIM_EXECUTION_CALLER_SYSTEM | System that initiated the execution. | VARCHAR |
MIM_EXECUTION_CALLER_COMPONENT | Component that initiated the execution. | VARCHAR |
MIM_EXECUTION_CREATED_BY_USER_NAME | Name of the user who created the execution. | VARCHAR |
MIM_EXECUTION_CREATED_BY_USER_ID | ID of the user who created the execution. | VARCHAR |
MIM_EXECUTION_CREATED_BY_SLACK_USER_ID | Slack user ID of the MIM execution creator. | VARCHAR |
MIM_EXECUTION_RESOLVE_OUTCOME_KIND | Kind of resolution outcome for the execution. | VARCHAR |
MIM_EXECUTION_RESOLVE_INITIATED_BY_NAME | Name of the person who initiated resolution. | VARCHAR |
MIM_EXECUTION_SLACK_TEAM_ID | Slack team ID for the execution. | VARCHAR |
MIM_EXECUTION_TEAMS_TENANT_ID | Microsoft Teams tenant ID for the execution. | VARCHAR |
MIM_EXECUTION_CREATED_TIMESTAMP_UTC | UTC timestamp when the execution was created. | DATE_TIME |
MIM_EXECUTION_UPDATED_TIMESTAMP_UTC | UTC timestamp when the execution was last updated. | DATE_TIME |
MIM_EXECUTION_CLOSED_TIMESTAMP_UTC | UTC timestamp when the execution was closed. | DATE_TIME |
MIM_EXECUTION_EXPIRES_TIMESTAMP_UTC | UTC timestamp when the execution expires. | DATE_TIME |
MIM_EXECUTION_DELETED_TIMESTAMP_UTC | UTC timestamp when the execution was deleted. | DATE_TIME |
IA_MIM_TEMPLATES
This table is only available if your organization has AI Incident Assistant.
Reusable Major Incident Management Templates and their Status Page configuration.
Column Name | Column Description | Data Type |
|---|---|---|
MIM_TEMPLATE_ID | Unique identifier of the MIM template. | VARCHAR |
MIM_TEMPLATE_NAME | Name of the MIM template. | VARCHAR |
MIM_TEMPLATE_DESCRIPTION | Description of the MIM template. | VARCHAR |
MIM_TEMPLATE_IS_ENABLED | Whether the MIM template is enabled. | BOOLEAN |
MIM_TEMPLATE_IS_DEFAULT | Whether this is the default MIM template. | BOOLEAN |
MIM_TEMPLATE_IS_DELETED | Whether the MIM template was deleted. | BOOLEAN |
MIM_STATUS_SYNC_ENTITY_ID | Entity ID used to sync MIM status. | VARCHAR |
MIM_TEMPLATE_SWARM_INVESTIGATION_ELIGIBILITY | Eligibility of the MIM template for swarm investigation. | VARCHAR |
MIM_TEMPLATE_PRIORITY_STATIC_VALUE | Static priority value assigned by the MIM template. | VARCHAR |
MIM_TEMPLATE_PRIORITY_VALUE_SOURCE | Source of the MIM template's priority value. | VARCHAR |
MIM_TEMPLATE_STATUS_PAGE_ENABLED | Whether a status page is enabled for the template. | BOOLEAN |
MIM_TEMPLATE_STATUS_PAGE_DEFAULT_VIEW | Default view of the status page. | VARCHAR |
MIM_TEMPLATE_STATUS_PAGE_TEMPLATE_ID | Identifier of the status page template. | VARCHAR |
MIM_TEMPLATE_STATUS_PAGE_AUTO_UPDATE_FREQUENCY_MINUTES | Auto-update frequency of the status page, in minutes. | INT64 |
MIM_TEMPLATE_CREATED_TIMESTAMP_UTC | UTC timestamp when the MIM template was created. | DATE_TIME |
MIM_TEMPLATE_UPDATED_TIMESTAMP_UTC | UTC timestamp when the MIM template was last updated. | DATE_TIME |
MIM_TEMPLATE_DELETED_TIMESTAMP_UTC | UTC timestamp when the MIM template was deleted. | DATE_TIME |
IA_MULTI_INCIDENT_ANALYSIS_REPORTS
This table is only available if your organization has AI Incident Assistant.
AI-generated reports analyzing multiple incidents together. See Multi-Context Generation for more information.
Column Name | Column Description | Data Type |
|---|---|---|
REPORT_ID | Unique identifier of the report. | VARCHAR |
REPORT_AUTHOR_USER_ID | ID of the user who created the report. | VARCHAR |
REPORT_TITLE | Title of the report. | VARCHAR |
REPORT_SUMMARY | Summary of the report. | VARCHAR |
REPORT_MARKDOWN | Full report body in markdown. | VARCHAR |
REPORT_EXECUTION_STATE | Execution state of the report generation. | VARCHAR |
REPORT_CURRENT_STEP | Current step in report generation. | VARCHAR |
REPORT_TICKET_COUNT | Number of tickets or incidents analyzed in the report. | INT64 |
REPORT_IS_DELETED | Whether the report was deleted. | BOOLEAN |
REPORT_IS_FAVORITED | Whether the report is favorited. | BOOLEAN |
REPORT_IS_ORG_SHARED | Whether the report is shared org-wide. | BOOLEAN |
REPORT_CREATED_BY_IMPERSONATION | Whether the report was created via impersonation. | BOOLEAN |
REPORT_HAS_DISTILLED_DATA | Whether the report includes distilled data. | BOOLEAN |
REPORT_IS_CHUNKED_ANALYSIS | Whether the analysis was chunked. | BOOLEAN |
REPORT_CREATED_TIMESTAMP_UTC | UTC timestamp when the report was created. | DATE_TIME |
REPORT_UPDATED_TIMESTAMP_UTC | UTC timestamp when the report was last updated. | DATE_TIME |
REPORT_EXECUTED_TIMESTAMP_UTC | UTC timestamp when the report generation ran. | DATE_TIME |
REPORT_COMPLETED_TIMESTAMP_UTC | UTC timestamp when the report was completed. | DATE_TIME |
IA_PROBLEM_MANAGEMENT_REPORTS
This table is only available if your organization has AI Incident Prevention.
AI-generated problem-management reports. See the Large Context Analysis documentation for more information.
Column Name | Column Description | Data Type |
|---|---|---|
REPORT_ID | Unique identifier of the report. | VARCHAR |
REPORT_AUTHOR_USER_ID | ID of the user who authored the report. | VARCHAR |
REPORT_TITLE | Title of the report. | VARCHAR |
REPORT_SUMMARY | Summary of the report. | VARCHAR |
REPORT_EXECUTION_STATE | Execution state of report generation. | VARCHAR |
REPORT_CURRENT_STEP | Current step in report generation. | VARCHAR |
REPORT_TICKET_COUNT | Number of tickets or incidents analyzed to create the report. | INT64 |
REPORT_IS_DELETED | Whether the report was deleted. | BOOLEAN |
REPORT_IS_FAVORITED | Whether the report is favorited. | BOOLEAN |
REPORT_IS_ORG_SHARED | Whether the report is shared org-wide. | BOOLEAN |
REPORT_CREATED_BY_IMPERSONATION | Whether the report was created via impersonation. | BOOLEAN |
REPORT_CREATED_TIMESTAMP_UTC | UTC timestamp when the report was created. | DATE_TIME |
REPORT_UPDATED_TIMESTAMP_UTC | UTC timestamp when the report was last updated. | DATE_TIME |
REPORT_EXECUTED_TIMESTAMP_UTC | UTC timestamp when the report generation ran. | DATE_TIME |
REPORT_COMPLETED_TIMESTAMP_UTC | UTC timestamp when the report was completed. | DATE_TIME |
IA_WORKFLOW_EXECUTIONS
This table is only available if your organization has AI Incident Assistant.
Executions of Incident Assistant Workflows, including the chat channel they ran in. Table is not joined into the SDM model.
Column Name | Column Description | Data Type |
|---|---|---|
WORKFLOW_EXECUTION_ID | Unique identifier of the workflow execution. | VARCHAR |
WORKFLOW_NAME | Name of the workflow. | VARCHAR |
WORKFLOW_TYPE | Type of the workflow. | VARCHAR |
WORKFLOW_EXECUTION_APP_TYPE | App surface the workflow ran in. | VARCHAR |
WORKFLOW_EXECUTION_FROM_INCIDENT_NOTIFICATION | Whether the execution was triggered from an incident notification. | BOOLEAN |
WORKFLOW_EXECUTION_SLACK_CHANNEL_ID | Slack channel the workflow ran in. | VARCHAR |
WORKFLOW_EXECUTION_SLACK_MESSAGE_TS | Slack message timestamp anchoring the execution. | VARCHAR |
WORKFLOW_EXECUTION_TEAMS_CHANNEL_ID | Microsoft Teams channel the workflow ran in. | VARCHAR |
WORKFLOW_EXECUTION_TEAMS_MESSAGE_ID | Microsoft Teams message ID of the execution. | VARCHAR |
WORKFLOW_EXECUTION_DURATION_SECONDS | Duration of the workflow execution, in seconds. | INT64 |
WORKFLOW_EXECUTION_CREATED_TIMESTAMP_UTC | UTC timestamp when the execution was created. | DATE_TIME |
WORKFLOW_EXECUTION_UPDATED_TIMESTAMP_UTC | UTC timestamp when the execution was last updated. | DATE_TIME |
IP_CHANGE_RISK_ASSESSMENTS
This table is only available if your organization has AI Incident Prevention.
Incident Prevention Change Risk assessments. Table is not joined into the SDM model.
Column Name | Column Description | Data Type |
|---|---|---|
CHANGE_RISK_ASSESSMENT_ID | Unique identifier of the change risk assessment. | VARCHAR |
CHANGE_IDENTIFIER | Source-system identifier of the change being assessed. | VARCHAR |
CHANGE_RISK_PROFILE_ID | Risk profile applied to the assessment. | VARCHAR |
CHANGE_RECORD_URL | URL to the source change record. | VARCHAR |
SHORT_DESCRIPTION | Short description of the change. | VARCHAR |
DESCRIPTION | Full description of the change. | VARCHAR |
STATE | Lifecycle state of the change. | VARCHAR |
PRIORITY | Priority of the change. | VARCHAR |
IMPACT | Impact classification of the change. | VARCHAR |
URGENCY | Urgency classification of the change. | VARCHAR |
ASSIGNED_TO | User the change is assigned to. | VARCHAR |
ASSIGNMENT_GROUP | Group responsible for the change. | VARCHAR |
APPROVAL_STATUS | Current approval status of the change. | VARCHAR |
APPROVAL_HISTORY | History of approval actions. | VARCHAR |
DECLARED_RISK | Risk level declared on the change record. | VARCHAR |
DECLARED_RISK_ANALYSIS | Analysis behind the declared risk. | VARCHAR |
RISK_RATING | Overall risk rating for the change. | INT64 |
WORK_NOTE_FULL_SENT | Whether the full work note was sent back to the source. | BOOLEAN |
CHANGE_PLAN | Implementation plan for the change. | VARCHAR |
BACKOUT_PLAN | Backout or rollback plan for the change. | VARCHAR |
TEST_PLAN | Test plan for the change. | VARCHAR |
JUSTIFICATION | Business justification for the change. | VARCHAR |
CMDB_CI | Configuration Item (affected service or asset) associated with the change. | VARCHAR |
BUSINESS_SERVICE | Business service affected by the change. | VARCHAR |
RISK_SCORE_BLENDED | Final blended risk score across all dimensions. | DOUBLE |
RISK_SCORE_CUSTOM_EVAL | Risk score from custom evaluation. | DOUBLE |
RISK_SCORE_HISTORICAL_INCIDENT | Risk score from historical incident analysis. | DOUBLE |
RISK_SCORE_IMPLEMENTATION_COMPLEXITY | Risk score from implementation complexity. | DOUBLE |
RISK_SCORE_TEAM_AND_INDIVIDUAL | Risk score from team or individual track record. | DOUBLE |
RISK_SCORE_TOPOLOGICAL_IMPACT | Risk score from topological impact. | DOUBLE |
RISK_WEIGHT_CUSTOM_EVAL | Weight applied to the custom evaluation category. | DOUBLE |
RISK_WEIGHT_HISTORICAL_INCIDENT | Weight applied to the historical incident category. | DOUBLE |
RISK_WEIGHT_IMPLEMENTATION_COMPLEXITY | Weight applied to the implementation complexity category. | DOUBLE |
RISK_WEIGHT_TEAM_AND_INDIVIDUAL | Weight applied to the team or individual category. | DOUBLE |
RISK_WEIGHT_TOPOLOGICAL_IMPACT | Weight applied to the topological impact category. | DOUBLE |
CUSTOM_EVAL_CONFIDENCE | Confidence of the custom evaluation. | INT64 |
CUSTOM_EVAL_SUMMARY | Summary of the custom evaluation. | VARCHAR |
INDIVIDUAL_NAME | Individual whose track record is scored. | VARCHAR |
INDIVIDUAL_TOTAL_CHANGES | Total changes made by the individual. | INT64 |
INDIVIDUAL_TOTAL_INCIDENTS | Total incidents linked to the individual's changes. | INT64 |
INDIVIDUAL_PCT_CHANGES_CAUSE_INCIDENTS | Percent of the individual's changes that caused incidents. | DOUBLE |
INDIVIDUAL_RISK_SCORE | Risk score for the individual. | DOUBLE |
TEAM_NAME | Team whose track record is scored. | VARCHAR |
TEAM_TOTAL_CHANGES | Total changes made by the team. | INT64 |
TEAM_TOTAL_INCIDENTS | Total incidents linked to the team's changes. | INT64 |
TEAM_PCT_CHANGES_CAUSE_INCIDENTS | Percent of the team's changes that caused incidents. | DOUBLE |
TEAM_RISK_SCORE | Risk score for the team. | DOUBLE |
LLM_INPUT_TOKENS | Input tokens consumed by the LLM assessment. | INT64 |
LLM_OUTPUT_TOKENS | Output tokens produced by the LLM assessment. | INT64 |
LLM_TOTAL_TOKENS | Total tokens used by the LLM assessment. | INT64 |
CHANGE_SCHEDULED_START_TIMESTAMP_UTC | UTC scheduled start of the change window. | DATE_TIME |
CHANGE_SCHEDULED_END_TIMESTAMP_UTC | UTC scheduled end of the change window. | DATE_TIME |
CHANGE_CREATED_TIMESTAMP_UTC | UTC timestamp when the change was created. | DATE_TIME |
CHANGE_UPDATED_TIMESTAMP_UTC | UTC timestamp when the change was last updated. | DATE_TIME |
ASSESSMENT_FIRST_ASSESSED_TIMESTAMP_UTC | UTC timestamp when the change was first assessed. | DATE_TIME |
ASSESSMENT_CREATED_TIMESTAMP_UTC | UTC timestamp when the assessment was created. | DATE_TIME |
ASSESSMENT_UPDATED_TIMESTAMP_UTC | UTC timestamp when the assessment was last updated. | DATE_TIME |