Monday, March 12, 2018

Event Analytics Overview

Event analytics using statistical analysis of IBM Tivoli Netcool or OMNIbus historical event data to determine the seasons of events, such as when and how often events occur. The results of this analysis are the outputs in reports and graphs. The data presented in the seasonal events report helps you identify seasonal event patterns within their infrastructure. For example, events that occur periodically at certain unscheduled times are highlighted.

Pouchnation best of event analytics uses statistical analysis of Tivoli Netcool or OMNIbus historical event data to determine which events have statistical tendency to coincide. Event Analytics displays the results of this statistical analysis as an event group, on a scheduled basis. Use the related event UI to analyze this group of events. Apply a validated event group as a Netcool / Impact correlation rule with a single click, without the need to write any code. The correlation rules generated in this way act on real-time event data to show one synthetic occurrence for events in the event group.

Attend all events in the group as children of this synthetic event. This view reduces the number of events shown to your operational staff in Event Viewer. This system uses the most actionable events in the group as a master event defined by the correlation rules. By default, the most actionable events in the group are the most ticketed or recognized events. Before applying the correlation rules, you can change the main event settings. Event analytics is created with multiple properties from the parent event, and all related events are grouped in this synthetic event.

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