How To Fix RSDME363 - Accuracy rate after Trial &1 = &2

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 363

• Message text: Accuracy rate after Trial &1 = &2

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME363 - Accuracy rate after Trial &1 = &2 ?

  The SAP error message RSDME363, which states "Accuracy rate after Trial &1 = &2," typically occurs in the context of data quality checks or data extraction processes in SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This message indicates that the accuracy rate of the data after a trial run is below an acceptable threshold.
  Cause:
  
  Data Quality Issues: The data being processed may contain inaccuracies, inconsistencies, or missing values that lead to a low accuracy rate.
  Configuration Problems: There may be issues with the configuration of the data source, transformation rules, or data extraction processes.
  Insufficient Data: The sample size used for the trial may be too small, leading to unreliable accuracy metrics.
  Transformation Errors: Errors in the data transformation logic can lead to incorrect data being loaded into the target system.
  
  Solution:
  
  Data Validation: Review the data being processed to identify any inaccuracies or inconsistencies. This may involve checking for missing values, duplicates, or incorrect formats.
  Configuration Review: Check the configuration settings for the data source and transformation processes. Ensure that all settings are correctly defined and aligned with the data requirements.
  Increase Sample Size: If the trial run is based on a small sample, consider increasing the sample size to get a more accurate representation of the data quality.
  Error Logs: Review error logs and messages generated during the data extraction or transformation process to identify specific issues that need to be addressed.
  Testing and Debugging: Conduct thorough testing and debugging of the data extraction and transformation processes to identify and fix any errors.
  Consult Documentation: Refer to SAP documentation or support resources for guidance on best practices for data quality and accuracy checks.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address known issues related to this error message.
  Data Quality Tools: Consider using SAP's data quality tools or third-party solutions to enhance data accuracy and integrity.
  Training and Best Practices: Ensure that team members involved in data extraction and transformation are trained in best practices for data quality management.
  
  If the issue persists after following these steps, it may be beneficial to consult with SAP support or a technical expert familiar with your specific SAP environment.