Published Release Notes

Apply logic to data import fields

When importing data from an external system, you can translate data fields into values that can be read by Pega^® Platform. From the Import wizard, you can do the following actions:

• Apply a decision tree or decision table to the data that is imported for a field.
• Use imported data for a field to look up a value in another record. For example, you can look up the key of a record that uses an external identifier to populate a foreign key field.
• Create templates that contain business logic, which eliminates the need to handle data transformations manually during preprocessing.

For more information, see Transforming data during import.

Ability to map JSON to clipboard properties by using a data transform

You can now map the entire JSON file or individual properties to and from the clipboard by using a data transform. Using a data transform makes it faster and easier to connect your Pega^® Platform to your system of record.

For more information, see Data transforms.

Data validation before importing

Data imported into a data type is now validated before it is imported. Validating data before importing it ensures that the data is valid and reduces the amount of time required to manually analyze and validate your data.

For more information about importing data into a data type, see Importing data for a data type.

Enable different REST service rules for distinct resource URIs

You can now specify different service REST rules for distinct resource URIs. This functionality provides different processing options, request handling, and response handling for each distinct resource URI. Additionally, it eliminates the need to develop and maintain complex logic to handle all possible resource URI paths.

For more information, see Distinct URI specification for service REST rules.

Use fast processing option does not work

The Use fast processing option on Connect REST and Service REST rule forms does not work unless you obtain the HFix-43000 hotfix from Global Customer Service.

Use the following data model guidelines when using fast processing:

• The JSON property names and the clipboard property names must match.
• The JSON tree structure and the clipboard tree structure must be similar.
• The scalar arrays in JSON must be mapped to the clipboard as page lists.
• Multi-dimensional arrays must be mapped into page lists of page lists with the same embedded property names.

​In addition, page groups, value groups, and Java objects are not supported by fast processing.

Automate business process tracking by importing Excel files

To track business processes status and data, you can now import Excel files when you create a case or data object in App Studio. This functionality provides the following enhancements:

• You can now upload a CSV file when you create a case or data object in App Studio. By importing a CSV file, you can use the data in your spreadsheet to define your data model.
• You can generate a data import template that you can use to import a file in its original format during production.
• You can upload .xlsx files to avoid resaving your Excel file as a CSV file.

For more information, see Creating a data model from a spreadsheet.

Data APIs support data exploration in React UI tables

Data APIs have been enhanced to support filtering, sorting, paging, and aggregation in React UI tables. You can use that functionality to access your data quickly and intuitively. For example, by using paging, you can query a data page to retrieve the second page of an employee contact list and specify the number of results that are displayed on the page.

For more information, see Data API performance and limitations.

Support for application-specific REST API calls

You can now call an authenticated REST API in the context of any application that is listed on an operator record by using the application alias URL. With the application alias URL, you can also develop REST services without changing the access group in the service package. REST services run in the context of the access group that points to the provided application, instead of the access group that is specified in the service package.

For more information, see Invoking a REST service rule.

Reports with visualizations of performance and automation levels for the email bot

In the Email Manager portal, you can now use built-in reports to visualize Pega Email Bot™ performance and the automation levels that are related to received emails, triaged cases, and created business cases. You can plug the reports to display the report data in other portals, for example the Case Manager portal. Based on the information displayed in the reports, you can adjust the machine learning models to achieve greater automation in the system.

For more information, see Viewing the reports for the Email channel and Built-in reports for the email bot.

Improved experience when building an IVA and Email Bot in App Studio

Build your Pega Intelligent Virtual Assistant™ (IVA) and Pega Email Bot™ while working only in App Studio. This approach makes the design process easier and more intuitive, and saves you time. You can now modify the advanced text analyzer configuration while working in App Studio. In addition, if you have access to Dev Studio, you can edit the text analyzer rule from App Studio for your chatbot or email bot by clicking a link to open the settings in Dev Studio.

For more information, see Adding a text analyzer for an email bot and Adding a text analyzer for an IVA.