How To Fix /SAPAPO/ESPP_PR451 - History consists of &1% zero values, limit: &2%


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/ESPP_PR -

  • Message number: 451

  • Message text: History consists of &1% zero values, limit: &2%

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  • Self-Explanatory Message

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/ESPP_PR451 - History consists of &1% zero values, limit: &2% ?

    The SAP error message /SAPAPO/ESPP_PR451 indicates that the historical data for a particular key figure in the SAP Advanced Planning and Optimization (APO) module contains a high percentage of zero values. Specifically, the message states that the history consists of &1% zero values, while the limit is set at &2%. This can lead to issues in forecasting and planning, as a high percentage of zero values can skew the results and make the data less reliable.

    Cause:

    1. Data Quality Issues: The historical data may not have been properly maintained, leading to a significant number of zero values. This can happen if there are periods with no sales or production data.
    2. Configuration Settings: The settings for the key figure might not be appropriate for the data being analyzed, leading to an excessive number of zero values.
    3. Business Process Changes: Changes in business processes or product lines may result in periods where no data is recorded for certain key figures.

    Solution:

    1. Data Review and Cleansing:

      • Review the historical data for the key figure in question. Identify periods with zero values and investigate the reasons behind them.
      • If the zero values are due to data entry errors or missing data, correct these issues in the source systems.
    2. Adjusting the Key Figure Settings:

      • Check the configuration of the key figure in the APO system. Ensure that the settings (like aggregation, time periods, etc.) are appropriate for the data being analyzed.
      • Consider adjusting the limits for zero values if it is justified by the business context.
    3. Data Enrichment:

      • If applicable, enrich the historical data with additional relevant information that can help improve the forecasting accuracy.
      • Consider using alternative data sources or methods to fill in gaps in the historical data.
    4. Consulting with Business Users:

      • Engage with business users to understand the context of the data. They may provide insights into why certain periods have zero values and how to address them.
    5. Monitoring and Reporting:

      • Implement monitoring mechanisms to regularly check the quality of historical data and ensure that zero values are kept within acceptable limits.

    Related Information:

    • Key Figures in APO: Understanding how key figures are defined and used in APO can help in diagnosing issues related to data quality.
    • Forecasting Methods: Familiarize yourself with the forecasting methods used in APO, as some methods may be more sensitive to zero values than others.
    • SAP Notes and Documentation: Check SAP Notes for any known issues or updates related to this error message. SAP documentation may also provide additional insights into managing historical data in APO.

    By addressing the underlying causes of the zero values and taking corrective actions, you can resolve the error and improve the reliability of your forecasting and planning processes in SAP APO.

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