Namespace

`sa_analytics`

37 ServiceNow system properties in this namespace, with what each one does.

`sa_analytics.agg.group_alert_with_same_group_by_fields`	It specifies which fields' values must match for alerts to be grouped, enhancing the correlation of related alerts.
`sa_analytics.agg.learner_group_by_property`	This property determines the specific field by which alerts are grouped during the alert aggregation process, facilitating better organization and analysis of related alerts.
`sa_analytics.agg.learner_rca_detection`	This property activates root cause analysis specifically for Automated groups based on configuration item (CI) grouping, allowing for deeper insights into incident patterns.
`sa_analytics.agg.mi_graph_enabled`	This property determines whether the Mutual Information Graph Aggregator is active, affecting how data is aggregated and analyzed.
`sa_analytics.agg.query.group_logic_order`	This property configures the execution order of various alert grouping methods, allowing for tailored alert aggregation strategies.
`sa_analytics.agg.query_cmdb_graph_walk_nodes`	This property limits the number of CI relationships considered when grouping alerts into a CMDB group, directly affecting alert aggregation efficiency.
`sa_analytics.agg.query_cmdb_rca_enabled`	This property activates root cause analysis features for CMDB groups, allowing for better insights into configuration item dependencies.
`sa_analytics.agg.query_cmdb_strongly_connected_graph_enabled`	This property activates the functionality for generating a strongly connected graph representation of the CMDB, enhancing relationship insights.
`sa_analytics.agg.query_cmdb_suggested_relationship_enabled`	This property determines whether suggested relationships from the CMDB Group CI Relations table are utilized when forming CMDB alert groups.
`sa_analytics.agg.query_customer_feedback_enabled`	This property determines whether customer feedback is utilized for forming new alert aggregation groups, impacting how alerts are categorized and prioritized.
`sa_analytics.agg.query_network_traffic_correlation_enabled`	This property activates the correlation of alerts based on network traffic, allowing for more accurate grouping and streamlined alert management.
`sa_analytics.aggregation.include_service`	This property configures the inclusion of all CIs in alert aggregation, impacting how alerts are processed based on their relation to business services.
`sa_analytics.aggregation_enabled`	This property enables the aggregation of alerts based on predefined criteria, facilitating better organization and analysis of alerts across multiple group types.
`sa_analytics.alert.severity_threshold`	This property determines the severity threshold above which alerts are included in alert aggregations and root cause analysis.
`sa_analytics.enable_no_ci_grouping`	This property enables the grouping of alerts that lack associated CIs, facilitating better organization and analysis of alert data.
`sa_analytics.hla_query_job_enabled`	This property determines whether legacy HLA grouping is active, influencing the method used for grouping analytics data.
`sa_analytics.included_domains_for_filter`	This property defines a comma-separated list of domain sys_ids that are permitted to change or add filters in the Grouped Alert Filters table.
`sa_analytics.mixed_grouping_by_service_order_criteria`	This property configures the grouping criteria for analytics data, allowing for prioritization based on specified attributes such as business criticality and creation date.
`sa_analytics.mixed_grouping_ignore_non_operational_service`	This property, when set to true, excludes non-operational services from mixed grouping analytics, enhancing the relevance of the data presented.
`sa_analytics.pred.cl_min_conditional_probability`	This property defines the minimum confidence score required to generate an alert prediction, influencing the frequency and relevance of alerts.
`sa_analytics.query_job_enabled`	This property enables or disables the alert aggregation feature, affecting the execution of related processes in the ServiceNow platform.
`sa_analytics.rca.input_purge_days`	This property determines the retention period for RCA input data in staging tables, defaulting to 90 days.
`sa_analytics.rca.learner_group_interval_secs`	This property defines the interval in seconds that alerts must be created within to be considered part of the same group for root cause analysis.
`sa_analytics.rca.learner_probes`	This property configures the count of concurrent learner probes that the MID server will run, impacting data processing efficiency.
`sa_analytics.rca.learner_query_interval_secs`	This property specifies the duration for which alerts are considered in root cause analysis for business services, impacting the analysis accuracy.
`sa_analytics.rca.mid_max_allowed_space`	This property defines the maximum allowed disk space usage percentage for the MID Server, triggering alerts when the limit is surpassed.
`sa_analytics.rca.output_purge_days`	This property determines the retention period for RCA output data, defaulting to 3 days, before it is automatically purged from the system.
`sa_analytics.rca.purge_probes`	This property configures the maximum number of concurrent purge probes allowed on the MID server, impacting data management efficiency.
`sa_analytics.rca.query_probability_threshold`	It defines the confidence score percentage threshold that must be met for RCA correlated alert groups to appear in the Event Management Dashboard and Alerts Console.
`sa_analytics.rca.query_probes`	This property configures the maximum number of parallel query probes that can be run on the MID server, impacting data processing efficiency.
`sa_analytics.rca.smc_model`	This property determines whether a binary model is utilized for root cause analysis, impacting how root causes are identified and analyzed.
`sa_analytics.rca_same_reasoning_use_newer`	This property configures the scoring order for root cause analyses with identical reasoning, allowing newer changes to be prioritized over older ones if enabled.
`sa_analytics.rca_task_table_max_records`	This property determines the limit on the number of probable root causes presented in the analysis table, impacting how many potential issues are visible to users.
`sa_analytics.specific_patterns_enabled`	This property activates machine learning algorithms to identify and group alerts based on specific patterns, enhancing alert correlation efficiency.
`sa_analytics.state_model_configuration`	This property sets the default state model configuration by referencing a unique sys_id, impacting how states are managed in analytics.
`sa_analytics.text_based_group_enabled`	It activates the use of Natural Language Processing algorithms to group alerts based on text similarity, enhancing the efficiency of alert management.
`sa_analytics.use_impacted_services_for_mixed_grouping`	This property configures the grouping criterion for alerts, allowing them to be organized by either impacted services or service associations based on its boolean value.