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titleThe power of Analytics

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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.Image RemovedJQL issues.

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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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Number Field
Attributes
<Custom Field Name>Value of the custom.



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Select List (Cascading)
Attributes
<Custom Field Name> OptionCustom field select option.
<Custom Field Name> SubOptionSuboption within the custom field option.



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Date Picker
Attributes
<Custom Field Name>Date included in the custom field.The date is seperated in year, quarter, month and day.



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MEASURES
Count IssuesCount the issues.
Sum Estimated TimeSum the estimated time.
Sum Remaining TimeSum the remaining time.
Count Different VersionsCount the versions without repetition..

Differences between the metrics:


Count Total VersionsCount the versions with repetition.
Count WorklogsCount the worklogs.
Sum Time SpentSum worklog time.
Count Different LabelsCount the labels without repetition.

Differences between the metrics:


Count Total LabelsCount the labels with repetition.
Count Different ComponentsCount the components without repetition.

Differences between the metrics:

Count Total ComponentsCount the components with repetition.
Count TransitionsCount the transitions.
Sum Time in Status FromSum time in a status.
Count Num. LinksCount the links.

Differences between the metrics:

Count Linked IssuesCount the linked issues.
Count Link TypesCount the types of links.
Count CommentsCount the number of comments.



MEASURES FOR CUSTOM FIELD NUMBER
{Min Custom Field Number}Minimum value of the numerical custom field.
{Max Custom Field Number}Maximum value of the numerical custom field.
{Sum Custom Field Number}Sum value of the numerical custom field.
{Avg Custom Field Number}Average value of the numerical custom field.

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The JIRA Software cube works on a board (Kanban or Scrum) and is launched from a board.  All calculations made will refer to the board issues.

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There are three basic dimensions that constitute a hierarchy:

Epic --> Issues --> Subtask. will refer to the board issues.

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


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.

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Value of the story point
Dimension
Story PointsCorresponds to the story points of the Histories.
Attributes
Story Point ValueValueValue of the story point. 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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In addition, the JIRA Software cube adds some new metrics:adds some new metrics:


MEASURES
Count EpicsCount epics.
Count SubtaskCount subtask.
Count SprintsCount sprints.
Min Story PointsMinimum value of history points.
Max Story PointsMaximum value of history points.
Sum Story PointsSum value of history points.
Avg Story PointsAverage value of history points.



2.3. Dimensions/Measures matrix.

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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 IssuesIssuesImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage Added
Count Link TypesImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage AddedImage Added
Count Different LabelsImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage ModifiedImage AddedImage ModifiedImage ModifiedImage Modified
Count Link TypesTotal LabelsImage RemovedImage Added
Count Different LabelsComponents
Count Total LabelsComponents
Count Different ComponentsComments
Count Total Components{Min Custom Field Number}
Count Comments{Max Custom Field Number}
{Min Sum Custom Field Number}
{Max Avg Custom Field Number}
{Sum Custom Field Number}Image RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage Removed
{Avg Custom Field Number}Image RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage RemovedImage Removed

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3. 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[3] Analysis Services Language Reference