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          Grouped Decision Matrices

          Grouped Decision Matrices

          With grouped matrices, you can group a matrix's data into different versions if several rows have the same column values. For example, in a matrix with age and gender-based transport fares, you can use gender as the matrix key, with male and female as the key values for the versions. This grouping prevents repeating male and female as row values in the matrix and groups the data for males in one version and females in another.

          Required Editions

          Available in: Lightning Experience
          Available in: Enterprise, Unlimited, and Developer Editions for clouds that have Business Rules Engine enabled

          Matrix keys function as one of the input variables for lookups. Based on the key value you enter, only the matching version is considered for the lookup.

          Here are some of the benefits of grouped decision matrices:

          • Grouped decision matrices are suitable for scenarios that involve using several similar matrices: matrices with the same input headers and the same output headers.
          • Grouped decision matrices improve management of data and reduce size requirements.
          • Users who keep the decision matrix data up to date can create and activate new versions of a matrix without touching other versions.
          Example
          Example Property and Casualty Sample Use Case

          An auto insurance carrier has different insurance rates for different jurisdictions, namely, states. The carrier wants to manage each jurisdiction separately, but doesn't want to create a separate calculation for each jurisdiction because all the calculations are the same.

          So the carrier creates a different decision matrix group for each state by using Jurisdiction as the group key.

          The input and output headers are the same, only the values differ. Each state's decision matrix group can be updated at a different time and new versions can be activated at different times.

           
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