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Oracle Identity Analytics Business Administrator's Guide 11g Release 1
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Document Information


1.  Oracle Identity Analytics Identity Warehouse

2.  Oracle Identity Analytics Importing

3.  Oracle Identity Analytics ETL Process

4.  Oracle Identity Analytics Data Correlation

Understanding Data Correlation

Writing Correlation Rules


Pattern Matching Scenarios

Manual Correlation

To Correlate an Orphan Account to a User

To Change Ownership of an Account

5.  Oracle Identity Analytics Role Engineering and Management

6.  Oracle Identity Analytics Workflows

7.  Oracle Identity Analytics Identity Certifications

8.  Oracle Identity Analytics Identity Audit

9.  Oracle Identity Analytics Reports

10.  Oracle Identity Analytics Scheduling

11.  Oracle Identity Analytics Configuration

12.  Oracle Identity Analytics Access Control

13.  Audit Event Log and Import-Export Log

Understanding Data Correlation

To construct the Identity Warehouse, global users are imported into Oracle Identity Analytics. This causes the entitlements in the various resources and target systems to be imported as well. A commonly used method to import this data is to run the automated Oracle Identity Analytics import process using flat or .csv files.

The process of associating global users to their respective entitlements is called data correlation. In Oracle Identity Analytics, multiple correlation rules can be defined to accurately associate global users to their entitlements. This chapter describes these rules and provides examples that show how to correlate global users to their entitlements using a combination of correlation rules and expressions.

Additionally, Oracle Identity Analytics provides powerful manual correlation capabilities. Manual correlation enables you to manually correlate orphan accounts (accounts that do not have any associated users) as well as change the association of existing correlated accounts.