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The JIRA Core cube works on a JQL and is launched from the issue navigator. All the calculations made will refer to the JQL issues.


Warning
titleJQL is required

JQL is required to load the JIRA Core cube.



The JIRA Core cube works separately with the issues, and extracts information from them without taking into account hierarchies.

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There are three basic dimensions that constitute a hierarchy: Epic --> Issues --> Subtask. 

Any calculation on one of these dimensions will include the data of its descendants in the hierarchy.

For example, the versions of an epic will be:

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Hierarchy
Epic

Epics of the board.Issue type Epic.

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Issue
Issues included in the epicStandard issue types, except epic type.

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SubtaskSubtasks of the issues included in the epicsSubtask issue types.


Any calculation on one of these dimensions will include the data of its descendants in the hierarchy.


For example, the versions of an epic will be:

  1. The versions of the epic itself.
  2. Plus the versions of the issues included in the epic.
  3. Plus the versions of the subtasks of the issues included in the epic.

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Epic
Dimension
Story PointsCorresponds to the story points of the Histories.
Attributes
Story Point ValueValue of the story point.
Dimension
As in JIRA Software, the history points of the epics will not be taken into account for the calculations.



Dimension
Epic StatusCorresponds to the state of the epic. In JIRA, it is presented in a custom field.
Attributes
Epic Status ValueCurrent state of the epic (To Do, In Progress, Done).

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DIMENSIONS
EpicsIssuesSubtaksVersionsSprintsStory PointsEpic StatusWorklogsTransitionsLinksLabelsComponentsComments{Custom Field X}





















Measures

Count Epics
Count Issues
Count Subtask
Sum Estimated Time
Sum Remaining Time
Count Sprints
Count Different Versions
Count Total Versions
Count Worklogs
Sum Time Spent
Count Transitions
Sum Time in Status From
Min Story Points
Max Story Points
Sum Story Points
Avg Stroy Points
Count Num. Links
Count Linked Issues
Count Link Types
Count Different Labels
Count Total Labels
Count Different Components
Count Total Components
Count Comments
{Min Custom Field Number}
{Max Custom Field Number}
{Sum Custom Field Number}
{Avg Custom Field Number}



3.

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[1] Saiku Documentation

[2] ISO 3166-2

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Custom Metrics.

You can create your own metrics through the integrated MDX editor. In this way you can adapt Analytics to your needs.


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3.1. Calculating Percentages.

You can easily calculate the percentages of your metrics through the integrated MDX editor.

For example, if you wanted to know the percentage of story points resolved for each epic.

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1. Calculate the story points of each epic.

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2. Add an calculated percentage metric.

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3. The calculated metric will be added to the available metrics.

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4. References

[1] Saiku Documentation

[2] Analysis Services Language Reference

[3] Saiku Chart Plus

[4] ISO 3166-2