🀿Column Mask

What is Data Masking?

It can be described as a method of modifying confidential data so that the actual values cannot be accessed. The data masking technique used in this feature is Dynamic Data Masking. It means temporarily hiding the data from users when they access it.

Why is it required?

To Mask sensitive information like PII, PHI, and other confidential data from specific groups of users who do not require it on the platform.

Steps involved in creating column masks

  1. On a Model, browse to the Column Mask Section.

  2. πŸ–±οΈClick on the β€œ+ Add Mask” Button, to create a new mask.

  3. The Masks you create are mapped to a group of users, who must be restricted from accessing the columns. So from the group name dropdown, select the group for which the mask is to be created.

  4. Then from a list of columns in the model, select those that have to be masked.

  5. By clicking the tick button, you can create the mask for the columns in the selected group.

So, what happens when a mask is created?

The masks are honoured when Reports are generated from the model with masked columns. If users from the masked group access the report, they will see asterisks rather than actual data in those masked columns, while other columns normally show data.

Also when such Reports are embedded onto a dashboard the masks are honoured.

Good to Know

  • In Reports, the masked columns are not available for filtering and sorting data.

  • When a restricted group of users downloads the report, the column masks are respected in the downloaded file.

  • Even when models are joined, the column masks remain intact.

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