Configure Custom Buckets - Customer
Facts and dimension attributes in the dimensional data model provided by Oracle Energy and Water Data Intelligence 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 Device Analytics. Intervals representing each bucket must be defined before the analytics solution can use bucket columns.
Supported Buckets
Buckets must be configured in the Customer Cloud Service application by an administrator before they can be used by Data Intelligence. The following buckets are currently supported.
Dimension | Importance | Bucket Value Ranges (Examples) | Column with Value to Be Bucketed | Column Details |
---|---|---|---|---|
Dimension: Completed in Billing Day Window Bucket Attributes:
|
Identify the period in a bill cycle window when a bill was completed (for example, early in the bill cycle window). |
Provides a meaningful illustration to users about when a bill was completed within its bill cycle window. Example:
|
DAYS_COMPLETED_AFTER_WIN_STARTDays Completed After Window Started |
Bucket Column: Description Business Object Name: Billing Day In Window Configuration Business Object Code: C1-BillingDayInWindow |
Dimension: Days Before Bill Window Closes Bucket Attributes:
|
Identifies how much time is left in an open bill cycle window for a bill to be completed. |
Provides a meaningful illustration to users about the time remaining in an open bill cycle window for a bill to be completed. Example:
|
DAYS_BEFORE_BILL_WIN_CLOSESDays Before Bill Window Closes |
Bucket Column: Description Business Object Name: Days Before Bill Window Closes Configuration Business Object Code: C1-DaysBeforeBillWindowCloses |
Configure Custom Buckets
Important Constraints: Follow these guidelines to avoid incorrect behavior of buckets.
- Only one bucket configuration for each Bucket Business Object is supported by Analytics Visualization. Otherwise the application will return incorrect values and may double-count measures.
- The bucket definition must have intervals that do not overlap and must cover all possible values. Otherwise, the application will return incorrect values and may under- or double-count measures.