How To Fix RSAN_RT311 - 0 values for &1 : Incomplete record is not considered

SAP Error Message - Details

• Message type: E = Error

• Message class: RSAN_RT - Messages for Runtime Analysis

• Message number: 311

• Message text: 0 values for &1 : Incomplete record is not considered

What causes this issue?

In linear regression, the value 0 is provided for an x value. It cannot
be determined at this point whether
an incomplete data record x1, x2, ..... xn is involved that distorts
the result of the linear regression, or whether
0 represents a valid value for an x value.

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?

Check whether 0 is a valid value. If not, then the data records are
incomplete. In this case, ensure that 0 values are excluded during data
retrieval for linear regression.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSAN_RT311 - 0 values for &1 : Incomplete record is not considered ?

  The SAP error message RSAN_RT311, which states "0 values for &1: Incomplete record is not considered," typically occurs in the context of SAP BW (Business Warehouse) during data extraction or transformation processes. This error indicates that the system has encountered records that do not meet the necessary criteria for processing, resulting in zero values being returned for the specified characteristic or key figure.
  Cause:
  
  
  Incomplete Data Records: The error often arises when the data records being processed are incomplete or missing required fields. This can happen if the source data does not contain all the necessary information for the transformation or loading process.
  
  
  Data Quality Issues: There may be issues with the quality of the data being extracted, such as missing values, incorrect formats, or data that does not conform to the expected structure.
  
  
  Transformation Logic: The transformation rules defined in the Data Transfer Process (DTP) or InfoPackage may not be correctly set up to handle certain records, leading to them being ignored.
  
  
  Data Source Configuration: The configuration of the data source may not be aligned with the expectations of the target InfoObject, causing records to be deemed incomplete.
  
  
  Solution:
  
  
  Check Source Data: Review the source data to ensure that all required fields are populated and that the data is complete. Look for any missing or null values that could be causing the issue.
  
  
  Review Transformation Rules: Examine the transformation rules in the DTP or InfoPackage to ensure they are correctly defined. Make sure that all necessary mappings are in place and that the logic is appropriate for the data being processed.
  
  
  Data Quality Checks: Implement data quality checks to identify and rectify any issues with the data before it is loaded into the BW system. This may involve cleansing the data or applying validation rules.
  
  
  Adjust Data Source Configuration: Ensure that the data source is correctly configured to match the structure and requirements of the target InfoObject. This may involve adjusting settings in the data source or modifying the InfoObject itself.
  
  
  Monitoring and Logging: Utilize SAP BW monitoring tools to track the data loading process and identify any records that are being rejected. This can help pinpoint the specific records causing the issue.
  
  
  Consult Documentation: Refer to SAP documentation or support notes related to the specific version of SAP BW you are using for any known issues or additional troubleshooting steps.
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on handling incomplete records.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
  Data Warehousing Best Practices: Familiarize yourself with best practices for data warehousing and ETL processes to minimize the occurrence of such errors in the future.
  
  By following these steps, you should be able to identify the root cause of the RSAN_RT311 error and implement a solution to resolve it.