Article

Oct 4, 2019

Tutorials that are listed in this section can help you learn about the decision management capability. With decision management, you can optimize every customer relationship and interaction to satisfy both customer needs and business objectives at the same time. Each tutorial is accompanied by a…

Article

Sep 30, 2019

Decision management capabilities help businesses optimize every customer relationship and interaction to satisfy both customer needs and business objectives at the same time. With decision management, business users can implement a management strategy that is personalized for each customer, and…

Article

Sep 30, 2019

The Pega 7 Platform decision management functionality makes it possible to connect to an external Hadoop distributed file system (HDFS). By associating the Pega 7 Platform with an HDFS, you can access very large data sets that are stored on multiple servers that operate in parallel. This tutorial…

Article

Sep 5, 2019

Pega Marketing™ for Communications employs static and dynamic offer bundles. Bundles include services such as TV or internet. Static bundles are pre-configured and are readily available for the customer. Dynamic bundles are created during an interaction with the customer by adapting to the answers…

Article

Sep 3, 2019

Data Nodes (D-Nodes) are a repository for analytical data from a variety of sources that also provide the infrastructure for decisioning services. D-Nodes support Decision Data Store data sets that store data in JSON format. The data is distributed and replicated around the D-Node cluster and…

Article

Aug 30, 2019

Interaction History is the Pega Decision Management data layer that stores all interactions with customers (responses to given propositions). Information that is collected during each interaction is written into the appropriate Interaction History database table. Each database table contains…

Article

Aug 30, 2019

Accelerate the processing of high-volume interaction history data by transitioning to a stream-based interaction history. By transitioning from a traditional relational database interaction history to a stream-based interaction history, you enable your application to process large volumes of data…

Article

Aug 30, 2019

Adaptive Decision Manager database tables The Pega ® Adaptive Decision Manager database tables are part of the PegaDATA schema. The state of the Adaptive Decision Manager system is maintained in memory and regularly serialized to a database. The frequency of serialization is determined by the…

Article

Aug 30, 2019

Humans can effortlessly interpret a single tweet, but we cannot do it efficiently over a large volume. Businesses are exploring ways to use machine learning to extract meaningful information from a large volume of text messages. These insights help improve business performance and customer…

Article

Aug 30, 2019

Configure your application to detect meaningful patterns in the real-time flow of events and to react to them in a timely manner. By detecting event patterns through Event Strategy rules, you can identify the most critical opportunities and risks to help you determine the Next Best Action for your…