Use Rule Sets to Support Complex Processes

Manage your complex business processes with rule sets that work together to evaluate data. Rule sets offer the best flexibility in data validation.

Why Complex Processes Require Groups of Related Rules

  • Individual rules can be combined together into a Rule Set to support complex conditions, processes or policies
  • Complex decisions are broken down into a number of smaller rules that can be individually tested and resolved
  • A rule contributes a result, which is then processed by another rule—and so on—to produce a final outcome.
  • Rule or subsets of rules in a rule set can be included or excluded based on certain conditions (e.g., effective dates)

Example – Credit scoring rules might change each month with new rules replacing older rules.


Rule Set Types

Nested Rule Set

Rule sets constructed in a hierarchy to allow common rules to be reused, and specialized rules to be used that only apply to a subset of business conditions.

Example – Insurance approval rules that apply for every policy, and specialized rules that only apply to a specific policy.

Interceptor Rule Set

Supports data cleansing and data mapping.

Run against a data stream and allow individual data elements (messages) to be evaluated, changed, or stopped for an analyst to evaluate.

The analyst can fix the message data, stop the data permanently, or construct a new rule to change the message and others like it.

Example – Ensuring data integrity by evaluating messages coming into a medical record (EHR) system by stopping messages that are missing data or contain badly formatted data.

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