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.
2. Make a data annotation
All user types can create a data annotation when viewing any visualization that includes a measure. To do this, create or open a metric set, dashboard, or other view where at least a measure is selected and visualized.
If editing a dashboard or another type of view, switch to View mode in the toolbar.
Right-click one of the measure values to open the context menu, and select Correct Value. In the example below, we've right-clicked the data bar for Clothing in a data bar table:
The Measure Value bar appears below the main toolbar. This is where you enter a new value for the selected measure.
If the correction is for your own analysis or a what-if scenario, click the unlocked padlock labeled public to change it to a private data annotation.
Click advanced if you want to include a comment for this correction.
Click apply to add the correction.
The value correction is applied to the actual data and visualized, but also marked with a note. Hover over the note to see its details in a Note popup window.
To demonstrate that the measure correction is associated with the data point of the metric set and not this specific visualization, right-click over the visualization and click Re-Visualize, then choose a different visualization. We will choose Bar under Charts in the toolbar. You can hover over the note again to see its details.
3. Change the correction
Other users who have permissions to view the same dashboard and the Correct Measure Values application privilege can also change the correction.
For example, as a different user, hover over an existing note to open its Note window. Click the menu button in the bottom right corner. Then click Change Value.
The Measure Value bar appears below the main toolbar. Enter the revised correction, and then click apply.
The value correction is applied to the data and the note is updated. Hover over the note to see its details.
4. Delete a correction
To delete a correction, hover over it to open its Note window. Click the menu button in the bottom right corner. From the menu, select Delete.
5. Prevent corrections
Users require the Correct Measure Values application privilege to be able to create data annotations or correct measure values.
By default, data annotations are enabled for all measures for users that are allowed to correct measures, but you can also prevent all users from making corrections for a specific measure as follows:
- From the Data Analysis Panel, click to edit the measure.
- In the Configure Metric Set Element dialog, uncheck the option Allow Data Corrections.
- 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.