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Privacera Documentation

Overview to examples by role

As background, see the following:

Flexible data governance roles to meet your needs

Governed Data Stewardship's defined roles might not exactly match the names of your organization's hierarchy of work functions for data governance. For instance, you might have a different term for "data owner" or "data steward" or "data user".

For simplicity, Governed Data Stewardship abstracts various work functions into generalized roles. Governed Data Stewardship gives you the flexibility to associate these roles with your own job functions.

You decide how you want to map your organization's exact definition of functional roles to Governed Data Stewardship’s general terms.

For example, you might have many different organization roles for the people who actually work with your data. You might have data analysts, ETL programmers, or data scientists. Governed Data Stewardship relies on the term data user to cover these functions.

Examine these predefined roles in Governed Data Stewardship and map their capabilities to your own organizational titles. You can then assign these various roles to the appropriate users.

About these examples

These examples of step-by-step procedures show how the various roles use PrivaceraCloud to implement parts of Governed Data Stewardship.


  • These example steps are presented in a logical sequence of an organization's hypothetical use.

  • The steps do not show all possible features or functions of Governed Data Stewardship.

  • In day-to-day work, you will discover additional sequences of steps not explicitly detailed here.

  1. The account administrator creates a data domain and assigns a data owner.

  2. The data owner creates a shared dataset and delegates it to a data steward.

  3. The data owner runs a Privacera Discovery scan on a dataset to discover and classify sensitive data.

  4. The data steward shares a data domain with data users.

  5. The project leader manages data users' requests to access datasets.