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Message type: E = Error
Message class: RSDHA - HANA Analysis in BW
Message number: 810
Message text: Number of values to be forecasted is lower than 1
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RSDHA810
- Number of values to be forecasted is lower than 1 ?The SAP error message RSDHA810, which states "Number of values to be forecasted is lower than 1," typically occurs in the context of SAP BW (Business Warehouse) or SAP Analytics Cloud when attempting to perform a forecasting operation. This error indicates that the system is unable to generate a forecast because there are insufficient data points available for the forecast calculation.
Causes:
Insufficient Data: The most common cause is that there are not enough historical data points in the dataset to generate a meaningful forecast. This could happen if:
- The dataset is empty or has very few records.
- The time period selected for forecasting does not contain any data.
Incorrect Time Interval: The time intervals selected for the forecast may not align with the data available. For example, if you are trying to forecast daily data but only have monthly data, this could lead to issues.
Data Filtering: Filters applied to the data might be excluding all relevant records, resulting in zero data points for the forecast.
Configuration Issues: There may be issues with the configuration of the forecasting model or settings that prevent the system from recognizing available data.
Solutions:
Check Data Availability: Ensure that there is sufficient historical data available for the forecast. You can do this by reviewing the dataset and confirming that it contains enough records for the desired time period.
Adjust Time Period: If the time period selected for forecasting does not match the available data, adjust it to ensure that it aligns with the historical data.
Review Filters: Check any filters applied to the dataset. Make sure that they are not excluding all relevant data points. Remove or adjust filters as necessary.
Data Quality Check: Ensure that the data is clean and properly formatted. Look for any anomalies or missing values that could affect the forecasting process.
Configuration Review: Review the configuration settings for the forecasting model. Ensure that all parameters are set correctly and that the model is appropriate for the type of data being analyzed.
Test with Sample Data: If possible, test the forecasting functionality with a smaller, known dataset that has sufficient data points to see if the error persists.
Related Information:
By following these steps, you should be able to identify the cause of the RSDHA810 error and implement a solution to resolve it.
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