How To Fix CNV_DMC_SIN189 - item '&1', scheduled quantity '&2' differs from item quantity '&3'

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_DMC_SIN - Messages for s-innovations migration

• Message number: 189

• Message text: item '&1', scheduled quantity '&2' differs from item quantity '&3'

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_DMC_SIN189 - item '&1', scheduled quantity '&2' differs from item quantity '&3' ?

  The SAP error message CNV_DMC_SIN189 indicates a discrepancy between the scheduled quantity and the item quantity during a data migration or conversion process, typically when using the SAP Data Migration Cockpit or similar tools. This error is often encountered in the context of migrating data from legacy systems to SAP S/4HANA or other SAP systems.
  Cause:
  The error occurs when the scheduled quantity for a specific item (denoted as '&1') does not match the actual item quantity (denoted as '&3'). This discrepancy can arise due to several reasons, including:
  
  Data Inconsistencies: The source data may have inconsistencies or errors, leading to mismatched quantities.
  Incorrect Mapping: During the data migration process, the mapping of fields may not have been set up correctly, causing the scheduled quantity to be incorrectly calculated or assigned.
  Business Logic: There may be business rules or logic that dictate how quantities should be handled, and these may not have been properly accounted for in the migration process.
  Changes in Data: If the data was modified after the initial extraction but before the migration, this could lead to discrepancies.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  Review Source Data: Check the source data for the item in question to ensure that the scheduled quantity and item quantity are correctly defined and consistent.
  Verify Mapping: Ensure that the data mapping in the migration tool is correctly set up. This includes checking that the fields for scheduled quantity and item quantity are correctly aligned.
  Adjust Quantities: If necessary, adjust the scheduled quantity or item quantity in the source data to ensure they match before re-running the migration.
  Consult Documentation: Review any relevant SAP documentation or migration guides that pertain to the specific migration scenario you are working on.
  Test Migration: Conduct a test migration with a smaller dataset to identify and resolve any discrepancies before performing a full migration.
  Engage SAP Support: If the issue persists, consider reaching out to SAP support for assistance, especially if you suspect a bug or require deeper technical insights.
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as LTMC (Legacy Transfer Migration Cockpit) or LTMOM (Migration Object Modeler) for data migration tasks.
  SAP Notes: Check for any SAP Notes related to the error message CNV_DMC_SIN189 for additional guidance or patches that may address known issues.
  Data Validation: Implement data validation checks in your migration process to catch discrepancies early on.
  Documentation: Keep detailed documentation of the migration process, including any changes made to data or mappings, to facilitate troubleshooting.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to ensure a successful data migration.