Say goodbye to data validation woes with Configurable Management
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Key Takeaways
⇨ During an SAP data migration process, ensuring the accuracy of data migrated from legacy systems into SAP is critical. Verifying this data is typically an expensive and time-consuming task, often involving manual validation based on statistical samples, which introduces the risk of human error.
⇨ Configurable Management offers a solution to these challenges through its Data Validation Management™ (DVM) tool, which helps businesses streamline their SAP migration.
⇨ DVM eliminates costly manual data review processes, allowing for validation of 100% of the data. It ensures data quality, error prevention, consistency, and faster data processing with a user-friendly interface.
Data validation ensures that data is accurate, complete, and consistent, which is crucial for maintaining reliable information throughout a business. Best practices in data validation include:
- Consistency: Ensuring data across systems and fields aligns.
- Thorough Testing: Testing the data for errors or inconsistencies.
- Data Type Checking: Verifying data matches the expected type (e.g., numeric, text).
- Domain/Range Checks: Confirming data falls within acceptable ranges or domains.
- Code Validation: Ensuring codes conform to established standards.
- Manual or Automated Validation: Using methods like automation to reduce human error.
During an SAP data migration process, ensuring the accuracy of data migrated from legacy systems into SAP is critical. Verifying this data is typically an expensive and time-consuming task, often involving manual validation based on statistical samples, which introduces the risk of human error. A robust data validation management solution can streamline this process by eliminating the need for manual verification and providing “known good data” for testing.
Organizations face consistent challenges during data migration when implementing SAP, such as:
- Developing data migration solutions.
- Ensuring the accuracy of the migrated data.
- Testing end-to-end business processes.
Developing migration solutions often takes longer than anticipated, causing delays in the project timeline. As a result, SMEs (Subject Matter Experts) are typically under pressure to validate a subset of the data, leading to issues with accuracy. This can result in multiple iterations of data loads and validations. Furthermore, SMEs responsible for data validation often also handle business process testing, but they may not validate all the data required for a full process, making it hard to identify complete sets of “known good data.”
Configurable Management offers a solution to these challenges through its Data Validation Management™ (DVM) tool, which helps businesses streamline their SAP migration. DVM eliminates costly manual data review processes, allowing for validation of 100% of the data. It ensures data quality, error prevention, consistency, and faster data processing with a user-friendly interface. This solution helps organizations identify known good data for testing and DVM supports both master and transactional data validation.
Key benefits of Configurable Management’s DVM include:
- Detailed reports on invalid data.
- Identification of known good data for testing.
- Support for non-programmers to verify data.
- Capability to validate variable data, including concatenated, transformed and cross-referenced data.
Learn more about Data Validation Management here.
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