Final Measurement Replacement

This validation rule allows you to define a variety of configuration options to decide if new scalar or interval data should replace existing measurements. The options include value change thresholds, percentage change thresholds, as well as condition code ranking. One common use for this rule is rejecting trivial measurement changes to prevent very small changes for a bill from being sent to a customer.

Note:

Additional detail on the logic of this rule can be found in the Detailed Description of the D2-VLMSRCOND Algorithm Type.

For help with the meaning of specific configuration fields, refer to the embedded help on the screen when adding or editing the rule.

Business Object

D2-FinalMeasurementValidation

Example Scenarios

Below are some example scenarios that can be achieved based on configuration of this rule.

Example 1: Replacement of measurements based solely on value difference

This illustration shows an example scenario that can be achieved by replacing measurements based solely on value difference.

Example 2: Percentage change to replace measurement

This illustration shows an example scenario that can be achieved when percentage change replaces measurement.

Example 3: Partial replacement of estimated data with regular data based on condition range prioritization

This illustration shows an example scenario that can be achieved by partial replacement of estimated data with regular data based on condition range prioritization.

Example 4: Partial replacement of regular data with outage data based on condition range prioritization

This illustration shows an example scenario that can be achieved by partial replacement of regular data with outage data based on condition range prioritization.

Example 5: Super not replaced by regular (retain a smoothed spike)

This illustration shows an example scenario that can be achieved when Super is not replaced by regular (retain a smoothed spike).

Example 6: Prevent replacement of manually edited data

This illustration shows an example scenario that can be achieved by preventing replacement of manually edited data.

Example 7: Allow replacement of manually edited data if the condition group is lower than new data

This illustration shows an example scenario that can be achieved by allowing replacement of manually edited data if the condition group is lower than new data.