Features Generally Available

offers certain functionality as generally available that you must enable using the Console. Generally available features are publicly available features that you can use for production workloads. These features enable functional administrators to switch functionality on and off and are disabled by default.

To enable the generally available features, see Enable Generally Available Features.

To learn more about the subject areas, see Subject Areas.

Functional Areas
Feature Description
Customer Collections Date Prediction This machine learning feature predicts the expected payment date for open customer invoices. See Customer Collections Date Prediction.
Customer Collections Risk Prediction This machine learning feature provides the customer collections risk prediction for open AR invoices. See Customer Collections Risk Prediction.
Supplier On-time Payments Prediction This machine learning feature provides the supplier on-time payments prediction for open AP invoices. See Supplier On-time Payments Prediction.
Project Invoices Prior to Acceptance This feature provides the ability to view invoices with all statuses in the Project Invoices subject area. By default, the PPM - Project Invoices subject area only shows invoices that are accepted in Receivables.
Pipeline Features
Feature Description
Configurabe Account Analysis Configurable Account Analysis (CAA) is a cross finance self-service advanced capability in that enables functional administrators to define the comprehensive account analysis template combining data across general ledger and multiple subledger sources right from the initial extract date. See Configurable Account Analysis.
Encumbrance Accounting

This feature provides the ability to analyze encumbrance balances using the Financials - GL Balance Sheet and Financials - GL Profitability subject areas and encumbrance journals using the Financials - GL Detail Transactions subject area.

After enabling this feature, ensure that you reload data for the General Ledger functional area. See Reload Data for a Data Pipeline.