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Configuring business rules

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Define a set of business rules to manage the execution of your decision strategies.

To run a decision strategy, configure such business rules as Data Import, Decision Table, Decision Tree, Map Value, Decision Data, Proposition Filter, or a Scorecard.

This article describes the decision management capability of Pega Platform. If you intend to use this feature specifically in Pega Customer Decision Hub, Pega’s solution for 1:1 Customer Engagement, see the Pega Customer Decision Hub documentation.
  • About Decision Data rules

    Decision data records offer a flexible mechanism for the type of input values that require frequent changes without having to adjust the strategy. Changes to the values of decision data records become directly available when you update the rule.

  • About Decision tables

    Use a decision table to derive a value that has one of a few possible outcomes, where each outcome can be detected by a test condition. A decision table lists two or more rows, each containing test conditions, optional actions, and a result.

  • About Decision Trees

    Use a decision tree to record if .. then logic that calculates a value from a set of test conditions organized as a tree structure on the Decision tab, with the 'base' of the tree at the left.

  • About Map Values

    Use a map value to create a table of number, text, or date ranges that converts one or two input values, such as latitude and longitude numbers, into a calculated result value, such as a city name. Map value rules greatly simplify decisions based on ranges of one or two inputs. Use a map value to record decisions based on one or two ranges of an input value. A map value uses a one- or two-dimensional table to derive a result.

  • About Proposition Filter rules

    Proposition filters allow you to define the validity, eligibility, and relevancy criteria for a set of strategy results (propositions). The filters set the proposition's behavior to true (offer the proposition) or false (do not offer the proposition).

  • About Adaptive Model rules

    Adaptive models are self-learning predictive models that predict customer behavior.

  • About Predictive Model rules

    Predictive Model rule instances use models that are created in the Prediction Studio or third-party models in Predictive Model Markup Language (PMML) format to predict customer behavior. You can use predictive models in strategies through the Predictive Model components and in flows through the Decision shape.

  • Scorecard rules

    A scorecard creates segmentation based on one or more conditions and a combining method. The output of a scorecard is a score and a segment defined by the results.

  • Understanding business rules

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