• Track the progress of data design. See Data Validation Workflow.

• Communicate and collaborate on data: requests to update or validate data can be sent to the designated managers. They then receive a notification and follow their tasks in Hopex. See Accessing Notifications.

• Ensure data traceability. See Data Lineages.

• Evaluate the data, directly as an expert, or through an evaluation campaign, followed by action plans if necessary. See Data Quality.

• Data Owner: this is the authority who decides on data access and use. The data owner can be the data designer, one of its users or a third party. The owner of the data may be the designer of the data, one of its users or a third party.
Data stewards can ask data owners to check or complete the value of a field, for example to correct a data quality defect.

• Data Designer: the person responsible for designing an object (such as a package, data domain, database, etc.).

• Data Steward : the Data Steward is the lead manager in a data governance project. He/She plays a key role in its realization. He/She has the knowledge of the data and their metadata. He/She makes them his own and works with the business teams to define the objectives of the data governance project.

• Data Scientist: is responsible for bringing together the data designer (business and logical data) and the managers of the processes who use this data.

• Data Quality Manager: must ensure the relevant and usefulness of the enterprise data. To do so, he/she must implement data control procedures.