Defining Dimension Hierarchies
About this task
You define KPI hierarchies from the Dimension Hierarchies page. Dimension hierarchies illustrate relationships between KPIs. Optimize uses Dimension hierarchies to complete the following tasks:
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Evaluate KPI relationships when performing trend analysis to determine how a lower-level, or child, KPI might affect its parent KPI.
For example, suppose you define a profit KPI as a high-level KPI in a hierarchy and you create a rule that alerts you when that profit KPI is below normal. Then you define a second KPI to monitor revenue by customer region. You define that second (revenue) KPI as a child of the profit KPI, and you create a rule that alerts you when that revenue KPI is below normal. If a rule violation occurs for the parent (profit) KPI, Optimize then will evaluate the children of that KPI. Based on the relationship you defined, if Optimize discovers that a child KPI also has gone out of compliance with a rule (for example, if the revenue of a specific region is below normal), Optimize can suggest that the child KPI is a probable cause of the rule violation for the parent KPI.
- Display KPI relationships on the Business Data (Optimize for Process) and System Data pages.
- Build a monitor tree, which presents a structural view of the monitored systems and business processes on the Analytics Overview page.
Viewing Existing Dimension Hierarchies
About this task
To view existing Dimension hierarchies
Procedure
Adding or Editing a Dimension Hierarchy
About this task
To add or edit a Dimension hierarchy
Procedure
Deleting Dimension Hierarchies
About this task
To delete Dimension hierarchies