Data Migration, as we have discussed through the past few weeks during Data Primer, Data Design, Data Extraction, Data Transformation, Data Loading and Data Verification, is the process to transfer the data from legacy systems (non-SAP) to SAP systems by using ETL applications and tools based on defined/derived business rules as per the future business operations/transactions.
The legacy system is the source system that carries the current business operations as per the defined scope and business processes. Limitations may exist that interact with new applications/interfaces and domains, as well as to meet the growing needs in the organization.
A target system is defined to meet future needs of the organizational operations and more efficiently handles all the complex applications and interfaces.
A Data Migration is typically a large undertaking and proper planning is key. Here are some common issues and mistakes – which can affect your time, effort and budget.
Data validation: Payment terms
If the legacy vendor has payment terms of (net 45 days) , as a part of the data validation, verify if the same net 45 days payment term is populated at the target system.
Business data validation: Payment terms
For any vendor in SAP, the purchasing view and accounting view should have the same payment term, as part of business data validation. Verify whether the both views have the same payment term or not.
Business process validation
While posting AR/AP, if the due date is calculated based on payment term, verify that the due date has properly populated
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AltaFlux Corporation is a global HCM cloud consulting partner based in Troy, Michigan. We empower organizations by streamlining, transforming, and optimizing key human capital management (HCM) processes with industry-leading HCM cloud solutions like SAP SuccessFactors, Benefitfocus, WorkForce Software and Dell Boomi.