Control group configuration for predictions
Valid from Pega Version 8.5
You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.
For more information, see Customizing predictions.
Easy access to proposition-related rules when creating change requests in revision management
Valid from Pega Version 7.2.1
When selecting propositions for change requests in Decision Strategy Manager, you can view the proposition filter, strategy, and when rules that are associated with the decision data the selected propositions belong to. In addition, you can include those rules in change requests. To view and add any associated rules to a change request, the rules must be part of the application overlay. With the ability to view and select all proposition-related data, you can consistently revise not only propositions themselves but also all associated rules.
For more information, see Proposition-centric revision management functionality.
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.
HDFS data sets support Parquet files
Valid from Pega Version 7.2.1
The Parquet file format has been added to the list of supported file formats for data storage in the Hadoop Distributed File System (HDFS) data set record. On the Pega 7 Platform, you can now access an HDFS data set that stores data in the Parquet file format and perform various operations on that data set.
For more information, see Big Data enhancements in decision management.
Response timeout configuration for predictions
Valid from Pega Version 8.5
You can now set a response timeout for your predictions in Prediction Studio. By setting a response timeout, you control how Prediction Studio registers customer responses that later serve as feedback data for your predictions.
For more information, see Customizing predictions.
Time-based retrieval of Facebook posts
Valid from Pega Version 7.2.1
You can now control the amount of data that is retrieved from Facebook data sets by using the new search functionality for Facebook data set records. You can limit the retrieval of posts to any number of past weeks, days, hours, or minutes to get only the data that is relevant to your business objective or that you lost as a result of a system outage or failure.
For more information, see: Improved Free Text Model rule type.
Analyze decision components with simulation tests
Valid from Pega Version 8.2
Gain a better understanding of how strategy components influence decision outcomes by using decision funnel explanations. By running simulation tests with the new Decision funnel explanation purpose, you can now break down the results of a decision funnel into granular analyses to assess how certain components and expressions influence the overall outcome.
For more information, see Interpret the decision funnel with simulation tests.
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.