Language detection option in Text Analyzer
Valid from Pega Version 7.2.2
On the Text Analyzer form, you can identify the language of incoming records based on their language metadata tag by selecting the Language detected by publisher option. This option applies only to Text Analyzer rules that process Twitter records. By combining this option with the advanced language filtering criteria of Twitter data sets, you can filter out unnecessary data and analyze only the Twitter records that are relevant to your business objective.
For more information, see Configuring advanced filter conditions for Twitter data and Configuring language settings.
Facebook metadata types available for analysis
Valid from Pega Version 7.2.2
The number of Facebook metadata types available for analysis in your application through Facebook data sets has been extended. After you provide a valid page token that corresponds to your Facebook page, you can analyze the following metadata types that relate to that page: public posts, tagged posts, promoted posts, direct messages, and comments on posts. By analyzing these metadata types in your application, you can enhance your understanding of your customers' needs and respond to issues faster.
For more information, see Creating a Facebook data set record.
Options for filtering data in Twitter data sets
Valid from Pega Version 7.2.2
Twitter data sets have more options for filtering tweets. On the Advanced options tab of the Edit Data Set form, you can configure your Twitter data set to not analyze tweets if they contain specific keywords or if the tweets are made by specific authors. You can also select the languages to analyze based on the language metadata tag of the incoming tweets (tweets in other languages are ignored). By configuring the filtering criteria, you can ignore data that is not relevant to your text analysis and retrieve only the records that you need.
For more information, see Configuring advanced filter conditions for Twitter data.
Reconfiguration of the Adaptive Decision Manager service after upgrade to Pega 7.2.1
Valid from Pega Version 7.2.1
After you upgrade the Pega 7 Platform to version 7.2.1, you need to reconfigure the Adaptive Decision Manager service. Beginning with Pega 7.2.1, the Adaptive Decision Management (ADM) service is native to the Pega 7 Platform and is supported by the Decision data node infrastructure.
For more information, see Services landing page.
Reconfiguration of the Adaptive Decision Manager service after upgrade to Pega 7.2.2
Valid from Pega Version 7.2.2
After you upgrade the Pega 7 Platform to version 7.2.2 from a version prior to 7.2,1, you need to configure the Adaptive Decision Manager service. Beginning with Pega 7.2.1, the Adaptive Decision Management (ADM) service is native to the Pega 7 Platform and is supported by the Decision data node infrastructure.
For more information, see Services landing page.
Delegation experience in revision management
Valid from Pega Version 7.3
Revision managers can now control rule authoring by assigning a delegation experience to any rule that is part of a revision management change request. Delegation experience types offer different rule authoring capabilities, so the revision manager can select the appropriate delegation experience for the task and the strategy designer’s experience.
File data set
Valid from Pega Version 7.3
You can now create a File data set that reads data from a file that is in CSV or JSON format. You can use this type of data set to test data flows and strategies.
For more information, see Creating a File data set record.
Analyze intentions in text analytics
Valid from Pega Version 7.3
You can now analyze text content to determine whether it contains any underlying intention. Through intent analysis, you can determine whether your customers are likely to continue subscribing to your services, want to know more about your products, or whether you are facing customer churn. Based on the detected intentions, you can take appropriate actions to ensure the growth of your business and minimize customer churn. Intent analysis is supported only for the English language.
For more information, see Intent analysis and filtering.
Decision Analytics portal replaces Predictive Analytics Director portal
Valid from Pega Version 7.3
The Decision Analytics portal replaces the Predictive Analytics Director (PAD) portal, the Text Analytics landing page, and the Adaptive Models Reporting landing page. In this new work area for predictive analytics and text analytics, the business scientist can control the full model life cycle by building predictive models, importing PMML models, building sentiment analysis and text classification models, creating and monitoring adaptive models, and updating any existing models.
For more information, see Overview of the Decision Analytics work area.
Event type browsing on the Customer Movie landing page
Valid from Pega Version 7.3
Event Browser is a new option on the Customer Movie landing page that provides insight into the history of customer interactions. You can retrieve data from the Event Store data set for a particular customer or a group of customers, display the events in a timeline, and browse a list of event types.
For more information, see Browsing events for a customer or a group of customers.