How To Fix WV_RRM224 - Table field data could not be read for the business volume quantity field

WV_RRM224 - Overview

• Message type: E = Error

• Message class: WV_RRM - Pricing: RRM Interface

• Message number: 224

• Message text: Table field data could not be read for the business volume quantity field

What causes this issue?

To read business volume quantities from info structure &V1&, as part of
the historical sales data for the data export in the RRM interface, the
table field <(>&<)>V2& was specified in the current RRM profile. However
, no data could be defined in the data dictionary for the info structure
&V1&/ table field &V2&.

System Response

It is not possible to read business volume quantities or historical
sales data.

How to fix this error?

Check the entries for reading business volume quantities: Table field
&V1& and info structure &V1&. The info structure comes from the
selection variants &V3& from the application area &V4&.

Procedure for System Administrators

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

Error message extract from SAP system. Copyright SAP SE.

WV_RRM224 - Details

• The SAP error message WV_RRM224, which indicates that "Table field data could not be read for the business volume quantity field," typically arises in the context of SAP's Revenue Recognition or similar modules where business volume data is processed. This error can occur due to various reasons, including data inconsistencies, configuration issues, or missing entries in the relevant tables.
  Causes:
  
  Missing Data: The required data for the business volume quantity field may not exist in the relevant tables.
  Data Inconsistencies: There may be inconsistencies in the data that prevent the system from reading the required field.
  
  Configuration Issues: Incorrect configuration settings in the SAP system related to revenue recognition or business volume processing.
  Authorization Issues: The user may not have the necessary authorizations to access the required data.
  Technical Issues: There could be underlying technical issues, such as database problems or system performance issues.
  
  Solutions:
  
  Check Data Availability: Verify that the necessary data exists in the relevant tables.