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Published Release Notes

Find release notes for the selected Pega Version and Capability

Browse resolved issues for Platform releases.

This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Decision Strategy Manager

Valid from Pega Version 7.1.3

Fixes were made that improve the configuration and execution of Batch Decisions. In particular,  the capability to use Structured Data has been enhanced. Some notable improvements have also been made to the UI of Visual Business Director.

  • The structured data input configuration will now work even though there is no data.
  • VBD has been enhanced to work with Version 7.1.
  • The structured data input configuration will now work with nested structures.
  • Association rules from Version 6.3 will now work with 7.1 structured data.

Reporting

Valid from Pega Version 7.1.3

This release had a focus on extending key capabilities to improve the functionality and ease of use of reporting features based on early adopter feedback.  A series of cosmetic changes and fixes are also included.

  • Multiple boxes may be checked on List view checkboxes
  • Dashboard Charts slider has been improved.
  • Summary View reports and charts have been enhanced.
  • Column properties can be added to a report in the Report Editor.
  • List view column widths can be set by Smart Info.
  • Listviews will display correctly for updated systems.
  • Improvements to the GuardRail Report.

User Interface

Valid from Pega Version 7.1.3

Issues for cross-browser support for Designer Studio have been addressed. Improvements were made in run-time performance for data pages with grids, and a number of cosmetic changes and fixes were made.

  • Improved loading of Javascript files during saving Harness rules.
  • Login Performance improvements
  • A cursor pointer issue was addressed in Case Manager.
  • In reports, data in columns will now right-align.
  • Improved section validation functionality
  • Harnesses with screen layouts will now save when there is a refresh condition on a panel.
  • Outline View tree has been improved.
  • Improvements to Repeat Grids using Data Pages as a source.
  • Formatted text cells can be put into a grid to display the value of a property retrieved from a Report Definition join.
  • Designer Studio changes to support IE9 and IE10.
  • Improved designer studio layout
  • Designer Studio changes to support quirks mode in IE8 and IE9.
  • Improvements to SmartLabels in Data Pages
  • Tab groups will take parameters for pre-activities in a defer load setup.
  • Sections support nested dynamic layouts.

Case-insensitive filtering in reports

Valid from Pega Version 8.2

Filtering in reports is now case-insensitive, improving the reporting and searching experience. You can turn off case-insensitive filtering, for example, by using an activity. You might want to do this if your index is too big or if the length of time it takes for indexing impacts performance.

For more information on report filtering, see Editing filter conditions.

Predictive models monitoring

Valid from Pega Version 8.2

In Prediction Studio, you can now monitor the predictive performance of your models to validate that they make accurate predictions. Based on that information, you can re-create or adjust the models to provide better business results, such as higher accept rates or decreased customer churn.

For more information, see Monitoring predictive models.

Kafka custom serializer

Valid from Pega Version 8.2

In Kafka data sets, you can now create and receive messages in your custom formats, as well as in the default JSON format. To use custom logic and formats for serializing and deserializing ClipboardPage objects, create and implement a Java class. When you create a Kafka data set, you can choose to apply JSON or your custom format that uses a PegaSerde implementation.

For more information, see Creating a Kafka data set and Kafka custom serializer/deserialized implementation.

Additional configuration options for File data sets

Valid from Pega Version 8.2

You can now create File data sets for more advanced scenarios by adding custom Java classes for data encryption and decryption, and by defining a file set in a manifest file.

Additionally, you can improve data management by viewing detailed information in the dedicated meta file for every file that is saved, or by automatically extending the filenames with the creation date and time.

For more information, see Creating a File data set for files on repositories and Requirements for custom stream processing in File data sets.

Simplified testing of event strategies

Valid from Pega Version 8.2

Evaluate event strategies by creating test runs. During each run, you can enter a number of sample events with simulated property values, such as the event time, the event key, and so on. By testing a strategy against sample data, you can understand the strategy configuration better and troubleshoot potential issues.

For more information, see Evaluate event strategies through test runs.

Data flow life cycle monitoring

Valid from Pega Version 8.2

You can now generate a report from the Run details section of a Data Flow rule that provides information about run events. The report includes reasons for specific events which you can analyze to troubleshoot and debug issues more quickly. You can export the report and share it with others, such as Global Customer Support.

For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.

Data flow runs retry connections that fail

Valid from Pega Version 8.2

Real-time and batch data flow runs now retry dataset connections that fail when the related service is temporarily unavailable, for example, when a connection to a Cassandra database times out. With the automatic retries, you no longer need to run data-heavy and CPU-intensive jobs multiple times and the maintenance of data flow runs diminishes significantly.

For more information about accessing event details, see Creating a real-time run for data flows and Creating a batch run for data flows.

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