process-mining
latest
false
- Release notes
- Before you begin
- Getting started
- Integrations
- Working with process apps
- Working with dashboards and charts
- Working with process graphs
- Working with Discover process models and Import BPMN models
- Showing or hiding the menu
- Context information
- Export
- Filters
- Sending automation ideas to UiPath® Automation Hub
- Tags
- Due dates
- Compare
- Conformance checking
- Root cause analysis
- Simulating automation potential
- Starting a Task Mining project from Process Mining
- Triggering an automation from a process app
- Viewing Process data
- Creating apps
- Loading data
- Customizing process apps
- Publishing process apps
- App templates
- Additional resources
Pseudonymizing Data
Process Mining
Pseudonymizing Data
Using CData Sync, data fields can be pseudonymized during extraction. This way, sensitive data fields can be hashed at the source before it reaches the Process Mining product. Follow these steps to pseudonymize data.
- Go to the desired task of a job in CData.
- Edit the query.
-
Add the
hashbytes()
function to each field that needs to be pseudonymized. For exampleREPLICATE [SOURCE_TABLE] SELECT hashbytes('SHA2_256',[SOURCE_FIELD]) AS [DESTINATION_FIELD] FROM [SOURCE_TABLE];
This way, all values will be hashed with a SHA2 256 hash. For more information, see SHA-2. If desired, the hashed values can be transformed into values like "Person 1", "Person 2", "Person 3" by writing SQL queries for this in the data transformations.