Applying Scaling and Precision to IPM Insights at the Dimension Level

Administrators can specify scaling settings for IPM Insights at the dimension level by associating a UDA with the Account dimension.

Scaling and precision settings ensure consistent formatting for all data values displayed for an Insight.

While users can apply scaling and precision for IPM Insights in User Preferences or in IPM Settings, if you use a UDA, it takes precedence over User Preferences and IPM Settings for scaling.

Before you apply a UDA, you must first enable the option to apply scaling:

  1. From the Home page, click IPM and then click Settings. (This option is available for all users.)
  2. To turn on scaling, select Apply Scaling (K, M, B, T) to values displayed in IPM Insights. Scaling is applied to currency values and non-currency values.

    You can also specify the precision to apply after scaling for currency values and non-currency values and percentage values.

    The default values are the precision settings that are set in User Preferences. The Example Preview panel shows how values will appear with the specified settings.

  3. Click Save.

To apply a UDA:

  1. Open the Dimension Editor.
  2. Select the Account dimension and member to edit.
  3. Click the UDA tab.
  4. Apply one of the following UDAs and then click Save.
    • HSP_DISPLAY_SCALE_K
    • HSP_DISPLAY_SCALE_M
    • HSP_DISPLAY_SCALE_B
    • HSP_DISPLAY_SCALE_T

The settings are applied throughout the Insights list, and in the Insights Analyzer View, for example, in the insight description, the graph, the grid, the Explainability tab, and the Insights AI tab.

Note the following:

  • By default, the Apply Scaling (K, M, B, T) to values displayed in IPM Insights option is enabled, and insights are displayed for each user using the precision set in their User Preferences.

  • You can apply a UDA only to the Account dimension.

  • Scaling and precision settings are not applied in ad hoc grids.

  • To apply the precision settings to narrative summaries for existing insights, you must re-run the insight.