eazyBI's Resolution interval advansed options

Peter Bengov Community Champion May 22, 2016

Hey, 

Do we have a way to configure these options for the built-in Resolution interval in eazyBI:

  • Percentage (%) results - creating a column that will show % of resolved issues divided by the total issues resolved (should be based on the Resolution interval dimension calculation).
  • Show only workdays - this is possible using MDX ({{DateDiffWorkdays}}), wondering if this can also be applied here. 

Thanks,

Peter

 

 

1 answer

1 accepted

Hi Peter,

 

  • Percentage (%) results - creating a column that will show % of resolved issues divided by the total issues resolved (should be based on the Resolution interval dimension calculation).
To calculate percentage (%) results for a Resolution interval you could create a new calculated measure in "Measures" dimension using this code:

CASE WHEN [Measures].[Issues resolved] > 0 THEN 
  ([Resolution Interval].CurrentHierarchyMember,
  [Measures].[Issues resolved])/ 
  ([Resolution Interval].DefaultMember,
  [Measures].[Issues resolved])
END

 

  • Show only workdays - this is possible using MDX ({{DateDiffWorkdays}}), wondering if this can also be applied here. 
Default dimension 'Resolution interval' could not be setup to take into account only working days. However, you could create a new interval dimension with working days only by precalculation in JIRA or during data import. This could be done by precalculating resolution working days and then importing resolution workdays days as interval dimension.
This can be done:
- in your JIRA using JIRA Misc custom field / Script runner. You should create a numeric calculated custom field for resolution working days and then define that this numeric custom field should be imported as interval dimension

OR

- during data import in eazyBI using Javascript code


Please contact support@eazybi.com if you have further questions regarding this!

 

Kind regards,

Martins Vanags / support@eazybi.com

 

Peter Bengov Community Champion Jun 14, 2016

Thanks Martins. This was very helpful

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