How To Fix /BOFU/FBI_DT_VIEW132 - Incomplete data for schema &1

/BOFU/FBI_DT_VIEW132 - Overview

• Message type: E = Error

• Message class: /BOFU/FBI_DT_VIEW -

• Message number: 132

• Message text: Incomplete data for schema &1

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.

/BOFU/FBI_DT_VIEW132 - Details

• The SAP error message /BOFU/FBI_DT_VIEW132 Incomplete data for schema &1 typically occurs in the context of the SAP Financials module, particularly when dealing with data views or reporting. This error indicates that there is incomplete or missing data for a specific schema, which is identified by the placeholder &1.
  
  Cause:
  
  Missing Data: The schema referenced in the error message may not have all the required data populated. This can happen if data was not properly loaded or if there are inconsistencies in the data source.
  
  Configuration Issues: There may be configuration issues in the data model or the schema itself that prevent it from being fully populated.
  Data Source Problems: The underlying data source (like a database or a data extraction process) may have issues that lead to incomplete data.
  Authorization Issues: Sometimes, the user may not have the necessary authorizations to view or access all the data related to the schema.
  
  
  Solution:
  
  Check Data Completeness: Verify