How To Fix UMK826 - Provider measure not in SAP measure catalog or in company measure catalog

UMK826 - Overview

• Message type: E = Error

• Message class: UMK - Measures

• Message number: 826

• Message text: Provider measure not in SAP measure catalog or in company measure catalog

What causes this issue?

The provider measure is contained neither in the company measure
catalog nor in the provider measure catalog. For this reason, no
benchmark values can be written to the benchmark InfoCube.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

You can choose between three options:
Remove the <LS>Write</> indicator in the first column; the benchmark
values are then no longer written to the benchmark InfoCube. For the
remaining measures, you can continue to write the benchmark values.
Choose <LS>Measure Builder</>. This takes you to the <NP>Measure
Builder</> function. There you have the possibility to create a new
company measure with the same name. However, this is only possible if
the name of the measure is in your namespace.
Contact your benchmark provider and clarify whether the correct name is
used for the measure.
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Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message UMK826 - Provider measure not in SAP measure catalog or in company measure catalog ?

  The SAP error message UMK826, which states "Provider measure not in SAP measure catalog or in company measure catalog," typically occurs in the context of SAP Analytics Cloud (SAC) or SAP BW (Business Warehouse) when there is an issue with the measure being referenced in a query or report. Here’s a breakdown of the cause, potential solutions, and related information:
  
  Cause:
  
  Missing Measure: The measure you are trying to use is not defined in the SAP measure catalog or the company-specific measure catalog. This could happen if the measure was deleted, not created, or if there is a mismatch in naming conventions.
  Incorrect Configuration: The measure might not be properly configured in the data model or the underlying data source.
  Data Source Issues: The data source being used may not be correctly linked to the measure, or there may be issues with the data extraction process.
  Versioning Issues: If there are multiple versions of the