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 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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