Published Release Notes

Decision Management

This release contains a number of fixes that improve the configuration and execution of Batch decisions – specifically, a number of usability improvements and addresses some issues when creating strategies on IE8.  

• Batch Decision functionality has been enhanced in the NBAM environment.
• In NBAM, users can run the strategy execution batch based on the Seed list class instead of the customer class. 
• Interaction data will now work even if Action or Organization  dimensions do not have values set.
• Running a strategy which includes a Data Import of a structured page reference will work in batch mode.
• Security was enhanced on the VBD Planner.
• The Access of Role to Object rules have been enhanced to allow users to create new Dimension Operator records.
• The NBAM Segment On Canvas will now fetch the SegMap data, even when the generated extended segment class has not been added to the Pages and Classes of the strategy.  The SegMap property will (if it exists) be added to a list of properties to fetch, even if the strategy indicates that it is not used.
• When a strategy is defined on a customer class, users may now specify the list of required properties to fetch for the input definition.
• When creating a new strategy, there is now a section to add a Strategy Results class like Business Issue or Group.

Expose properties in Decision Data Store

You can now expose properties in Cassandra-based Decision Data Store data sets. With this solution, you can update single properties in extended customer analytic records (XCAR) without having to update the full customer record.

For more information, see XCAR in Decision Data Store.

Enhancements to bulk editing options for unversioned propositions

Bulk editing options for unversioned propositions have been enhanced to allow the use of Excel for editing. You can export and import unversioned propositions into Excel by using the Import wizard. Additionally, data types replace decision tables as the new storage format for unversioned propositions.

For more information, see Data type management and Proposition management enhancements.

Reuse existing propositions across applications

You can reuse existing propositions from built-on applications by using a new wizard to copy proposition groups across applications. This wizard gives you more options and flexibility when you define the business hierarchy in your application.

For more information, see Proposition management enhancements.

Migrate DDS data across various schema versions

You can use multiple versions of a single Decision Data Store (DDS) data set type in different applications that run on the same Pega^® Platform instance and efficiently move data across those versions even if the underlying data schema is different. This solution improves the data management process and simplifies the reuse of existing data.

For more information, see Decision Data Store migration.

Support for PMML version 4.3 in predictive models

You can now leverage predictive models in the Predictive Model Markup Language (PMML) version 4.3 by importing them into predictive models on Pega^® Platform. Pega Platform utilizes a large part of the PMML standard with the exception of some PMML 4.3 features that are not supported in the Predictive Model rule.

For more information, see Support for PMML version 4.3 in predictive models and Creating a predictive model.

Emit remaining event strategy data at the end of a data flow run

Data flows have been updated to prevent data loss in event strategies. By default, when a batch or a real-time data flow stops and it contains an event strategy with Tumbling windows, all of the events that are in the Tumbling windows are emitted. Event emission triggers further processing in the event strategy, like aggregations and joins.

For more information, see Enhancements to data flows that contain event strategies and Event Strategy rule form - Completing the Event Strategy tab.

New aggregation functions in event strategies

You can use new functions in event strategies to build standard and complex aggregations. With new aggregation functions you can detect additional patterns in streams of data and deliver actionable insights.

For more information, see Adding aggregations in event strategies.

Continue batch data flow runs that failed and reprocess partitions with the failed records

You can now continue batch data flow runs that failed and complete them with failures. You can also identify all the records that failed during a batch data flow run that is completed with failures. After you fix all the issues that are related to the failed records, you can reprocess the failures by resubmitting the partitions that contain the failed records. This option saves time when your data flow run processes millions of records and you do not want to start the run from the beginning.

For more information, see Data flow run updates.

Decision Data Store and HDFS data set types become resumable

Decision Data Store (DDS) and HDFS data set have been enhanced to be resumable. As a result, data flow runs that reference Decision Data Store or HDFS data sets as their primary data source are now resumable. You can pause and resume such data flow runs.

For more information, see the Resumability of data flow runs section in Data flow run updates.