Data migration is an integral component of SAP Revenue Accounting and Reporting (RAR), as it involves moving information between systems. A well-planned migration strategy can ensure an effortless rollout and reduce disruption during the implementation of SAP RAR. Here are a few data migration tips you should keep in mind when rolling out SAP RAR:

 

Data Analysis and Cleanup: Before migrating data to SAP RAR, it’s essential that all existing systems undergo extensive data analysis and cleansing procedures to detect duplicate, incomplete, and invalid records that could create difficulties during migration. Data quality tools can assist with this task, while data cleansing tools offer solutions.

 

Data Mapping: Data mapping involves mapping existing system data structures with those available within SAP RAR, including source and target systems, elements to migrate, transformations required to accurately map these elements, and templates designed specifically to simplify this task and ensure consistency and accuracy throughout.

 

Data Extraction and Transformation: Data extraction involves gathering existing system information, while data transformation entails adapting it for use within SAP RAR, including currency, date or legacy conversion. Migration tools may help automate both steps to facilitate their extraction and transformation process.

 

Data Loading and Validation: Data loading involves uploading transformed data to SAP RAR, while data validation involves verifying whether this has occurred correctly by inspecting accuracy, completeness, and consistency checks on loaded information. Loading/Validation tools may assist in automating these processes to maintain data integrity and protect the integrity of stored records.

 

Data Archiving: Archiving involves migrating historical information that no longer needs to be accessible daily into an archive system. The goal is to decrease system data storage space usage while improving overall system performance. Data archiving tools may assist with automating this process while guaranteeing compliance with regulatory standards.

 

Data Migration Testing: Data migration testing involves validating that the data migration process has been successful and that SAP RAR contains accurate and complete information. It also involves testing migration scenarios, data validation checks, and system performance assessments. Testing tools such as these help automate this procedure for greater data accuracy and completeness.

 

Data Migration Cutover: A data migration cutover involves organising the transition from existing systems to the SAP RAR system, including planning data migration downtime, communicating with end-users, and providing post-migration support services. A well-prepared data migration cutover will minimise business disruption while guaranteeing a successful transition into its use.

 

Data migration is an integral component of SAP RAR implementation and must be appropriately planned to avoid disruption to business activities and minimise disruption during implementation. Key data migration strategies include analysis and cleanup, mapping, extraction/transformation loading/validating archiving testing cutover and testing cutover strategies, which organisations should adhere to for successful SAP RAR deployment while realising maximum benefits from the new system.