Throughout the previous units and lessons, you learned the importance of this tool, how it fits into the larger conversion/upgrade/update process, and the steps needed to perform data transition validation.
In this lesson, you will review the key points of this course.
The data transition validation tool is a standard SAP tool that automates business data comparison before and after an SAP S/4HANA transition. This comparison verifies data quality and presents results in a clear format. Data transition validation drastically reduces the time and effort needed for post-migration validation, minimizing downtime and increasing confidence in the transition.
Key Advantages of Data Transition Validation
Data transition validation offers several significant advantages:
- Reduced Downtime: Automates data validation, minimizing manual checks during critical downtime.
- Improved Accuracy: Eliminates human error inherent in manual comparisons, leading to more reliable results.
- Increased Confidence: Provides a robust mechanism for validating large datasets, boosting confidence in the transition.
- Cost Savings: Reduces manual effort, saving time and resources.
- Pre-delivered Content: Offers ready-to-use SAP standard reports from different functional areas.
Data Transition Validation Steps
- Project Setup and Tool Setup:After installing the tool and preparing the system with all necessary prerequisites, you can proceed to create a data transition validation project, define the validation scope, specify source and target systems (such as your SAP ECC and SAP S/4HANA systems), and select the reports or transactions to validate. Data transition validation provides pre-delivered content for common business areas, simplifying setup. Custom reports with ALV outputs can also be included.
- Test Specification: Define input parameters and conditions for data extraction and comparison. This includes specifying report selection criteria by defining splits (granularity of comparison, e.g., by company code), conditions, or variants. Additionally, you can use the Exclude parameter to remove fields from comparison. Data transition validation allows for rules and filters to refine the comparison.
- Data Simulation:You can perform a simulation before running the actual data extraction. This allows you to adjust the input parameters based on the simulation results.
- Data Extraction: Data transition validation extracts data from source and target systems in two snapshots: before and after the transition. The tool supports importing simulation results to avoid redundant extraction.
- Data Evaluation: Data transition validation compares the extracted datasets, highlighting discrepancies such as differences in the data fields, missing data, or unexpected entries. Results are presented clearly to identify and resolve inconsistencies efficiently.
- Results Review and Sign-off:Carefully review the comparison results. Data transition validation provides tools to understand discrepancies and determine their significance. Once data integrity is confirmed, sign off on the validation process.
Ease of Use
Data transition validation features an intuitive interface accessible to both technical and business users. Clear instructions and visualizations guide users through the process. Pre-delivered content further simplifies the process, minimizing custom configuration needs. Results are presented in a user-friendly format for easy discrepancy identification.
Summary
At the end of this course, you can use the data transition validation tool in a way that best suits your system transition needs, and knowing that it:
- automates data comparison for SAP S/4HANA migrations and upgrades.
- involves project setup, test specification, data extraction, comparison, and results review.
- has a simplified usage due to it's intuitive interface and pre-delivered content.
- reduces downtime, improves accuracy, and increases confidence in data integrity.
- is a cost-effective solution for validating large datasets.