PEGA Decisioning - Next Best Action Decisioning Artifacts
Proposition Management - is how propositions are defined,
stored and managed in PDM. Propositions are anything that can be offered
to a customer incl. ads, products, offer bundles even customer service actions.
Decision Strategies - match propositions with customers, combine data about the customer with rules and predictive analytics to determine the Next-Best-Action during each interaction.
Interaction History - gives Pega Decision Management its long-term memory. Captures every customer response to every NBA and provides it as input for determining what the NBA should be.
Visual Business Director - is a 3-D graph environment for simulating and analysing the results of Decision Strategies and customer interactions, helps to ensure that strategies are on target to meet goals.
Adaptive Decision Manager - enables automatic development and deployment of adaptive predictive models which learn and gather data on-the-fly to predict future customer behaviour.
Each of these key features leverages the different types of decisioning artifacts: Rule Types, Landing Pages, Decision Components, and Flow Shapes that are the building blocks of Pega Decision Management.
PEGA Decisioning Landing Pages
Landing pages- here certain key capabilities are configured, monitored and managed, they provide a shortcut to viewing the rule types as well as the data behind these capabilities.
The Decisions landing page enables you to define and manage all aspects of the decisioning hierarchy incl. the propositions, strategies and data flows that determine NBA.
The Predictive Analytics landing page enables you to manage all aspects of the development and implementation of predictive and adaptive models.
The Monitoring landing page enables you to monitor decisions through three types of reports: the adaptive model reports, Interaction History reports and Visual Business Director.
The Infrastructure landing page enables you to configure, view and manage resource usage and various operational settings.
PEGA Decisioning Flow
Shapes
Each element in a process flow is called a flow shape, they allow seamless integration of PDM with Pega Business Process Management.
There are 2 types of flow shapes:
The Decision flow shape extends the capability of the decision flow shape in the Pega Platform by enabling it to invoke predictive models and decision rules, such as decision tables and decision trees.
The Run Interaction flow shape invokes a decision strategy, which determines how and when to make a proposition to the customer, and then captures the customer’s response to the proposition.
PEGA Decisioning Rule
Types
The Strategy rule type, the main rule type, utilizes all other rule types to determine what the NBA should be.
Decision Tables and Decision Trees classify customers by characteristics for the purpose of creating segments.
Scorecards are used to implement industry standard scorecards such as the FICO scorecard.
The Predictive Model rule type is used to execute predictive models created with Pega Predictive Analytics Director.
The Adaptive Model rule type - configures the adaptive analytics
decision models that are managed by the Adaptive Decision Manager
service.
The Interaction rule type - executes a decision strategy from a workflow and capture the details of the customer interaction.
