The first steps in implementing a Pega Sales Automation™ application typically involve a gap analysis. The outcome of the gap analysis often contains...

Capture and present data in your application to provide the information that is necessary to complete work. Configure relationships among data types...

Dashboards in Pega Process Mining present meaningful information in a visually appealing form and help you to see relationships in the data. For...

Data Sets help you to manage and define collections of records. They enable data abstraction, representing data stored in different sources and...

Data Flows are scalable data processing pipelines that read, process, and write data from various sources. They consist of components that transform...

Validate user data against business logic to avoid invalid data within applications.

Extend the configuration of Validate Rules in Dev Studio by applying edit Validate Rules to test data formats, qualifying Validation logic, and using...

Promote Case processing efficiency and improve application flexibility by leveraging savable Data Pages and systems of records to store and update...

Zeigen Sie die Beziehungen zwischen Datentypen an, um Einblicke in das Datenmodell für eine Anwendung zu gewinnen.