Data Matching & Deduplication
Advanced matching algorithms to eliminate duplicates and create golden records
Intelligent Record Matching
MasterGrid uses sophisticated matching and deduplication algorithms powered by machine learning to identify and merge duplicate records with exceptional accuracy.
- • Probabilistic and deterministic matching
- • ML-powered accuracy improvements
- • Fuzzy matching for name variations
- • Automated merge conflict resolution
Matching Techniques
Deterministic Matching
Rule-based matching using exact or near-exact matches on key attributes
Probabilistic Matching
Score-based matching using Bayesian algorithms and weighted attributes
Machine Learning Matching
AI-powered matching that learns from historical match decisions
Entity Resolution
Link entities across multiple data sources and reference data
Accuracy & Performance
Matching Accuracy
Advanced algorithms deliver exceptional accuracy across diverse data sources
Precision Rate
Minimize false positives with fine-tuned matching parameters
Recall Rate
Find the vast majority of true duplicates efficiently
Performance Metrics
Matching Use Cases
Customer Deduplication
Identify and merge duplicate customer records from multiple systems to create single unified customer records
Household Linking
Link individual customer records to their household accounts for complete family-level analytics
Product Matching
Match product records across ERP, catalog, and supplier systems to create unified product master
Supplier Consolidation
Identify duplicate supplier and vendor records to optimize procurement and reduce invoice processing
Entity Linking
Link related entities like companies to their locations, products to categories, and customers to accounts
Reference Data
Match and consolidate reference data like postal codes, cities, and countries across systems