Colloborative workflows, approval policies and more for 19.02, February 2019
SummaryRead about new features in 19.02
Requests that apply changes to enterprise data can involve several users in a multi-stage collaborative workflow process. An inference-based, data-driven workflow engine adapts its policies to the content of each incoming request and its items. Requests move through a Submit and Approve stage before being committed to the system and closed.
In Administering and Working with Oracle Enterprise Data Management Cloud:
Approval policies can be used to collect approvals for requested changes to enterprise data. You can set up approval policies to require approvals for changes to specific applications, dimensions, node types, and hierarchy sets. Approval policies allow for sequential or concurrent approvals by multiple users and provide options for exception handling, including reminders and escalation. Multiple approval policies can be used together in an additive manner for the same requests.