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Goal of this blog post

In this blog, we will create a simple panel displaying analytics for Requirements entities managed by SAP Cloud ALM with the ALM Grafana plugin.



  • You have created a service key to your SAP Cloud ALM tenants (check this blog).

  • You should configure a Grafana data source connected to your SAP Cloud ALM tenant.

  • You have configured at least one project in your SAP Cloud ALM tenant. (check the SAP support portal)


ALM Requirements Data Provider

The SAP Cloud ALM Requirements data provider supports the following dimension:

Dimensions Description Filter
name Requirement Name
GUID Internal GUID of the requirement yes
project project of the requirement yes
project name Project Name
scope scope ID yes
scope name Scope of the requirement
status Requirement Status yes
statusText Text of the requirement status
assignee Assigned owner of the requirement yes
priority Priority of the requirement yes
team Team assigned to the requirement yes
workstream Work-stream attached to the requirement
Role Role of the Requirement yes
Process Solution process of the requirement
counter Requirement counter (Measures)




From your Grafana instance, create a query for each project to be displayed in your dashboard:

  • Add a Panel

  • Select your SAP Cloud ALM “Data source”.

  • Select the “Time Series” format.

  • Select the data provider: “ALM Requirements

  • Select the name of your project.

  • Select the following dimensions:

    • scopeName

    • scope



Select the "Pie Chart" visualisation with the following settings:

  • Query transformation: Select the "Rename by regex" transformation to remove the measure name of the time-series legend. (Note: As two dimensions were selected by the query, the name of the series correspond the combination the two dimensions).


  • Query Options:

    • Select “now/d” as relative time option in the “Query Options” panel to retrieve data of the "Today as of now" time period.


The result will show a pie-chart showing the scope distribution of requirements per scope for a given project.



In the next blog, we will create a panel displaying Test Executions analytics.


Thanks for reading.