Automated Duplicate Detection & Master Record Reconciliation

This workbook provides a semi-automated reconciliation workflow to detect duplicates and map raw records to master IDs using deterministic and fuzzy matching. Start with deterministic keys (email, national ID) via exact MATCH/XLOOKUP. For near-duplicates, compute normalized fields (trim, lower, remove punctuation) and use approximate string matching via helper algorithms: Levenshtein distance in VBA or approximate matching via INDEX/MATCH with LEFT/N and similarity thresholds. Create a match-score column combining exact matches, token overlap, and date proximity; flag high-confidence matches for auto-merge and present low-confidence candidates in a review sheet. Include reconciliation logs, audit trails, and an incremental process that writes accepted merges to MasterKey. This reduces manual clean-up and prepares data for downstream analytics with high integrity.