Collaboration Using Data Annotations

This applies to: Managed Dashboards, Managed Reports

A data annotation (measure correction) is a change to a measure value in a metric set, which is then also marked with a comment in visualizations like a regular note or annotation. The measure correction can be made public if the original value was incorrect, or it can be kept private for your own use for analysis or what-if scenarios and then removed.

Since annotations are associated with data, the same correction will automatically apply to other data visualizations or views that are displaying the same data point from the same metric set.

• Unlike regular notes, data annotations apply only to the current metric set, and not other metric sets based on the same data cube.
• Dynamic measures, hierarchies generated by formula functions, and metric sets with dynamic hierarchies do not support data annotations.
• Data annotations are not applied to measure values displayed using the Collapse All option or when expanding hierarchy members.
• The check in/check out state of the metric set does not apply to data annotations. Undo Check Out does not change or remove the applied corrections.
• Contextual measures that are checked out to you are changed directly, rather than a data annotation created on top of it.
• When working with OLAP data, the values for totals and the grand total are taken directly from the OLAP source and will not be affected by data annotations.
• Data annotations cannot be attached to a measure value when filtering it using a slicer or data cube parameter by a range of hierarchy member values.

For more information about data annotations, see:

• Data Annotation Privileges
• Correct a Value
• Change a Corrected Value
• Delete a Correction
• Prevent Corrections