Table of Contents

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  1. Preface
  2. Introduction
  3. Accessing Data Archive
  4. Working with Data Archive
  5. Scheduling Jobs
  6. Viewing the Dashboard
  7. Creating Data Archive Projects
  8. Salesforce Archiving
  9. SAP Application Retirement
  10. Creating Retirement Archive Projects
  11. Integrated Validation for Archive and Retirement Projects
  12. Retention Management
  13. External Attachments
  14. Data Archive Restore
  15. Data Discovery Portal
  16. Data Visualization
  17. Data Privacy
  18. Oracle E-Business Suite Retirement Reports
  19. JD Edwards Enterprise Retirement Reports
  20. Oracle PeopleSoft Applications Retirement Reports
  21. Language Settings
  22. Data Vault Datatype Conversion
  23. Special Characters in Data Vault
  24. SAP Application Retirement Supported HR Clusters
  25. Glossary

Retention Management Overview

Retention Management Overview

Retention management refers to the process of storing records in the Data Vault and deleting records from the Data Vault. The retention management process allows you to create retention policies for records. You can create retention policies for records as part of a data archive project or a retirement archive project.
A retention policy is a set of rules that determine the retention period for records in an entity. The retention period specifies how long the records must remain in the Data Vault before you can delete them. The retention period can be definite or indefinite. Records with definite retention periods have expiration dates. You can run the Purge Expired Records job to remove expired records from the Data Vault. Records with indefinite retention periods do not expire. You cannot delete them from the Data Vault.
Your organization might require that you enforce different retention rules for different records. For example, you might need to retain insurance policy records for five years after the insurance policy termination date. If messages exist against the insurance policy, you must retain records for five years after the most recent message date in different tables.
Data Archive allows you to create and implement different retention rules for different records. You can create a retention policy to addresses all of these needs.

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