Error
Error Code:
5192
SAP S/4HANA Error 5192: Invalid Minimum Confidence Range
Description
This error indicates that a configured minimum confidence value, essential for AI, machine learning, or automation processes within SAP S/4HANA, is set outside the permissible range of 0 to 100. It typically arises during system configuration, data import, or when an automated process attempts to utilize an incorrectly defined confidence threshold.
Error Message
ERR_TEXT_COMMON_INVALID_MINIMUM_CONFIDENCE
Known Causes
4 known causesManual Configuration Mistake
A user manually entered a minimum confidence value that is less than 0 or greater than 100 in a configuration field.
Automated Process Input Error
An integration, API call, or automated script supplied an out-of-range value for the minimum confidence parameter.
Data Import or Migration Issue
Configuration data imported from an external source or during a system migration contained an invalid minimum confidence value.
Incorrect Default Override
A system default setting for minimum confidence was overridden with an invalid value during module setup or customization.
Solutions
3 solutions available1. Revalidate and Re-upload Configuration for Statistical Data medium
This solution addresses issues with corrupted or incorrectly formatted configuration files for statistical data, which often cause error 5192.
1
Identify the specific configuration object or data set that is causing the error. This often involves reviewing application logs and tracing the process that triggers the error. Look for entries related to statistical analysis, forecasting, or predictive models.
2
Access the relevant configuration transaction or tool within SAP S/4HANA. The exact transaction code will depend on the module and functionality involved (e.g., for planning or forecasting scenarios).
3
Export the current configuration settings for the identified object. This serves as a backup and allows for inspection.
4
Carefully review the exported configuration file for any invalid characters, incorrect data types, or missing mandatory fields, particularly those related to confidence ranges. Pay close attention to numerical values and their formatting.
5
If an issue is found, correct the configuration manually or regenerate the configuration file from a known good source. Ensure that all minimum confidence range values are valid numerical inputs and fall within acceptable business logic (e.g., not negative, not excessively large).
6
Re-upload the corrected configuration file back into SAP S/4HANA. Follow the standard import procedures for that specific configuration object.
7
Test the functionality that previously triggered error 5192 to confirm the issue is resolved. This may involve running a specific report, performing a planning simulation, or executing a predictive model.
2. Verify and Correct Underlying Master Data for Predictive Models medium
Error 5192 can occur if the master data used in statistical or predictive calculations contains invalid or inconsistent values for confidence ranges.
1
Determine which master data objects are being used by the process that is generating error 5192. This might include material master, customer master, vendor master, or specific planning-related master data.
2
Identify fields within these master data objects that are used in calculations involving confidence intervals or statistical parameters. Common areas include forecasting parameters, quality inspection plans, or risk assessment configurations.
3
Use SAP S/4HANA master data maintenance transactions (e.g., MM02 for material, XD02 for customer) or data management tools to inspect the values in these fields. Focus on fields related to statistical confidence.
4
Look for any entries where the minimum confidence range is set to an invalid value, such as a negative number, zero where a positive is expected, or a value that exceeds logical business limits.
5
Correct the invalid master data entries. Ensure that all values adhere to the defined business rules and data type constraints for the respective fields. If a specific value is unknown or problematic, consider setting it to a default valid value or leaving it blank if permissible.
6
If a large number of master data records need correction, consider using mass maintenance tools or custom ABAP programs to update the data efficiently. For example, a program could read a file with corrected values and update the relevant master data fields.
Example ABAP snippet for mass update (conceptual):
abap
DATA: lt_master_data TYPE STANDARD TABLE OF <your_master_data_structure>.
* Populate lt_master_data with corrected values from a file or other source
LOOP AT lt_master_data ASSIGNING FIELD-SYMBOL(<fs_data>).
CALL FUNCTION 'BAPI_MATERIAL_SAVEDATA' or similar BAPI for other master data types
EXPORTING
headdata = <header_data_structure>
clientdata = <client_data_structure>
TABLES
return = lt_return.
IF lt_return IS INITIAL.
CALL FUNCTION 'BAPI_TRANSACTION_COMMIT'.
ELSE.
CALL FUNCTION 'BAPI_TRANSACTION_ROLLBACK'.
ENDIF.
ENDLOOP.
7
After correcting the master data, re-run the process that triggered error 5192 to verify the resolution.
3. Review and Adjust System Parameters for Statistical Analysis advanced
Certain system-level parameters or settings within SAP S/4HANA might control default confidence ranges or validation rules, and incorrect settings can lead to this error.
1
Consult SAP Notes and official documentation related to error 5192 and the specific module or application area involved (e.g., SAP Integrated Business Planning, Supply Chain Planning, or specific analytics components).
2
Identify any relevant system configuration parameters or tables that govern statistical calculations, forecasting, or confidence interval settings. This might involve transactions like SPRO (SAP Customizing Implementation Guide) or specific parameter tables.
3
If a specific parameter is identified that controls the minimum confidence range, review its current setting. Ensure it aligns with business requirements and is not set to an invalid or overly restrictive value.
4
Make the necessary adjustments to the system parameter. This usually requires appropriate authorization and may involve a transport request to move the changes to production.
5
Thoroughly test the functionality after adjusting the system parameter. It is crucial to perform this testing in a non-production environment first to avoid unintended consequences.