How To Fix MDQ_DATA_IMPORT145 -

MDQ_DATA_IMPORT145 - Overview

• Message type: E = Error

• Message class: MDQ_DATA_IMPORT -

• Message number: 145

• Message text:

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 MDQ_DATA_IMPORT145 - ?

  The SAP error message MDQ_DATA_IMPORT145 typically relates to issues encountered during the import of master data in the SAP system, particularly in the context of Master Data Governance (MDG) or similar data management processes. The error message usually indicates that there is a problem with the data being imported, such as missing required fields, incorrect data formats, or inconsistencies in the data.
  
  Cause:
  
  Missing Required Fields: The data being imported may be missing mandatory fields that are required for the import process.
  Data Format Issues: The format of the data may not match the expected format defined in the system (e.g., date formats, numeric formats).
  Data Inconsistencies: There may be inconsistencies in the data, such as duplicate entries or references to non-existent records.
  Validation Errors: The data may fail validation checks defined in the system, leading to the import being rejected.
  
  
  Solution:
  
  Check Required Fields: Review the data being imported to ensure that all required fields are