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A practical guide for CIOs and ERP consultants on resolving duplicate records and data conflicts during multi-source ERP migrations, covering profiling, deduplication strategies, and validation.
Handling duplicate records and data conflicts during a multi-source ERP migration requires a structured approach to data profiling, deduplication, and validation. The primary risk is data corruption, operational disruption, and financial reporting errors if duplicates are not resolved before cutover. The recommended approach involves identifying all source systems, profiling data for quality issues, defining business rules for deduplication, and executing trial migrations to validate reconciliation. This process protects business continuity and ensures the new ERP system starts with a clean, accurate data foundation.
Before any data movement, you must understand the landscape of your source systems. Multi-source migrations often involve legacy ERPs, spreadsheets, CRM systems, and third-party applications. Each source may have different data structures, naming conventions, and quality levels. Data profiling is the first critical step. It involves analyzing each source to identify duplicates, missing values, inconsistent formats, and orphaned records. This step reveals the true scope of data conflicts that will need resolution.
Duplicates can occur within a single source or across multiple sources. For example, a customer might exist in both the legacy ERP and the CRM with slightly different names or addresses. You must define what constitutes a duplicate. Is it an exact match on email and phone number? Or does it require fuzzy matching on name and address? Document these rules clearly. Use data profiling tools to generate reports on potential duplicates. This data will inform your deduplication strategy and help you estimate the effort required for manual review.
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