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Defining a data privacy policy to mask numeric data

This is an optional exercise intended for Optim™ Data Privacy Solution users. In this exercise, you will define a data privacy policy to mask year-to-date sales numbers. The policy will be added to the Source Plan data access plan.

To define a data privacy policy to mask numeric data:

  1. In the Data Project Explorer, expand the Data Models folder, double-click the OPTIMUSER logical data model to open the model, expand the Package1 node, and expand the Data Access Plans folder.
  2. Double-click Source Plan. The data access plan editor opens.
  3. Click Data Privacy. The data privacy editor opens.
  4. From the Policies area, do the following:
    1. Select Executor from the Platform list.
    2. Expand Identity Privacy Policies, expand Numeric Privacy Policies and select Uniform random long in range.
  5. In the Attributes area, select OPTIM_CUSTOMERS from the Entity list. The attributes in the OPTIM_CUSTOMERS entity are listed.
  6. From the Attributes list, select YTD_SALES.
    Apply data priivacy policies area
  7. Click Apply. The Add Policy wizard opens.
  8. On the Uniform Random Long In Range Options page, do the following:
    1. In Range lower bound, type 1000.
    2. In Range upper bound, type 10000.
    3. Click Finish.
    Uniform Random Long In Range policy
    The new privacy policy, OPTIM_CUSTOMERS1, will display in the Data privacy policies in use area.
  9. From the main menu, click File > Save.
You have defined a privacy policy that will mask numbers by generating a random long integer within a specified range, 1000-10000, for the YTD_SALES attribute of the OPTIM_CUSTOMERS entity.
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