4 Managing Role Mining Tasks
Use the Identity Role Intelligence user interface to create, modify, search, copy, and run role mining tasks.
This section contains the following topics:
4.1 Signing In to Identity Role Intelligence
4.2 Creating Role Mining Tasks
As the role engineer, you use role mining to discover relationships between users based on similar entitlements across various data sources that can logically be grouped to form candidate roles and publish to Oracle Identity Governance.
To create a role mining task:
4.7 Managing Outdated Data
Data import into Oracle Identity Role Intelligence (OIRI) is an ongoing process where entities stored in the OIRI schema may be added, modified, or removed over a period of time. Custom attributes may also be added, modified, or removed at different stages in the process. If changes to entities or custom attributes are made, they may impact on existing role mining tasks that were based on the data that has since changed. Management of outdated data allows the role mining administrator to determine whether a particular role mining outcome (task or candidate role) is based on outdated data by flagging this in the OIRI application.
Table 4-1 shows the usecases that can be associated with outdated data and how such situations are flagged in tasks and candidate roles.
Table 4-1 Managing Outdated Data Usecases
Usecase | Summary | Outcome |
---|---|---|
Delete custom attribute |
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Note: the outdated data feature flags issues with the underlying data, it will not 'fix' the problem in the backend. Role administrators should take relevant action such as running a new task if outdated data is flagged. |
Delete entity data
|
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Note: User and Entitlement counts in Task, Candidate Roles, and Published Roles will remain the same as analytics for the missing entities will not be regenerated. |
Accept outdated task |
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Accept outdated candidate role |
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