profilecombining
Profile combining, also known as profile fusion or entity resolution in some contexts, is the process of identifying records across disparate data sources that refer to the same real-world entity and merging them into a single, unified profile. The aim is to create a richer, more accurate representation by aggregating attributes, histories, and relationships from multiple systems, while preserving data provenance and governance. It is a key step in data integration, customer data platforms, and identity resolution workflows.
Methods used to perform profile combining typically fall into deterministic and probabilistic approaches. Deterministic methods apply
Data preparation is essential: data must be standardized, schemas aligned, and quality checks performed; missing values
Applications include customer data platforms, fraud detection, personalized recommendations, healthcare patient records, and research that benefits