Configure Custom Buckets - Customer
Facts and dimension attributes in the dimensional data model provided by Oracle Utilities Analytics Visualization may contain numerical attributes that become more useful when grouping them into categories that represent specific number intervals. This process is often referred to as "binning" or "bucketing." For example, an age attribute value may be assigned to an age bucket such as 0-1 days, 1-2 days, 2-3 days, 3-4 days, or >=5 days.
Utilities business applications support a set of predefined bucket business objects that are used in Analytics Visualization. Intervals representing each bucket must be defined before the analytics solution can use bucket columns.
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