Automated Checks, Reliable Data

Automated Report Checking (ARC) plays a crucial role in ensuring data consistency and integrity in SAP S/4HANA transformation projects. By validating financial and master data before and after migration, it enables the early detection of discrepancies that could otherwise lead to problems after migration. Compared to manual verification methods, the automated approach significantly reduces effort, increases efficiency, and improves the overall quality of the project. 

Report results instead of tables: Technical data validation with ARC

The primary purpose of Automatic Report Check is to provide a structured, repeatable, and business-relevant validation of data during SAP S/4HANA conversions.

Unlike technical comparisons at the table level, ARC focuses on the business perspective by analyzing the results of standard SAP reports. This ensures that the comparison reflects how end users, auditors, and financial managers actually interpret the data. 

ARC runs selected reports in both the source and target systems and compares the results under identical conditions. This allows discrepancies to be identified immediately. Particularly in areas such as FI, CO, AA, and MM, ARC thus creates a robust foundation for financial accuracy and compliance. 

Overall, the goal is not only to verify data accuracy but also to strengthen governance through a transparent, auditable validation process that significantly reduces project risks.

Report Variants: 

• Predefined variants must be available for each report in both the source and target systems.  

• The names of these variants must be maintained at the project level in the key table.  

• ARC then executes reports based on these variants and automatically performs the comparison of results.  

ARC can also compare report results within the same system. This is particularly useful for fiscal year changes (FYC) or internal system reconciliation. 

The following applies to this scenario: 

• The DCS parameters must be adjusted to allow for a single-system comparison.  

• A specific flag is activated to allow the comparison of two report variants within a single system.  

• Two variants are required: 

  • a base variant (without a postfix)  

  • a second variant (with a postfix, e.g., to identify the new fiscal year)  

ARC then performs the reconciliation directly between these two variants within the same environment, ensuring flexibility while maintaining the execution logic. 

Source System: Establishing a Basis for Comparison 

The execution of the Automatic Report Check follows a clearly defined sequence of tasks that ensures both systems are processed consistently and that the comparison is completely transparent. Each step logically builds on the previous one, creating a structured workflow that minimizes manual effort while ensuring full control over data quality. 

The process begins in the source system, where the first task retrieves the output of the defined report variant.  

Instead of comparing the output directly in memory, ARC saves the retrieved results in a standardized format. 

The second task then writes these results to an Excel file in a predefined directory on the application server. This approach ensures that the data is documented in a consistent and reproducible format and can be reused or reviewed at any time.

Target System: Compare Results and Identify Discrepancies 

The workflow then continues in the target system. The third task retrieves the output of the same report variant from the target environment. To ensure symmetry and comparability, the fourth task again transfers this data to an Excel file within the same directory structure on the application server.

The final step is the actual validation. The fifth task performs a comprehensive comparison between the report outputs from the source and target systems. ARC evaluates whether the values are identical or if there are any changes. Differences in numerical values are detected immediately, and missing or additional data records are identified. If entries show changes, these are highlighted. 

The result of this comparison is also written to an Excel file on the application server, providing a clear and structured overview of all changes.

This execution sequence ensures that the ARC process is fully transparent, auditable, and repeatable. Every step is logged, every output is saved, and every deviation is precisely recorded. For project teams and auditors, this provides a reliable basis for decision-making and quality assurance. 

Reports that generate ALV output are best suited for ARC. Other output formats may not be fully compatible. These issues can be corrected by adjusting the output structure in the Natuvion DCS Snippet Configurator. 

By automating recurring report checks, ARC significantly reduces the manual validation effort, shortens reconciliation cycles, and improves traceability for audit and quality assurance teams. ARC also demonstrates its added value in fiscal-year-change scenarios by reliably identifying discrepancies within a system and ensuring consistency across reporting periods. 

Overall, ARC has established itself as a reliable tool for strengthening data quality, transparency, and governance in transformation projects.