AI-Based Duplication and Record-Linking Detection

Purpose

Detect duplicate or mismatched records across datasets using fuzzy matching and clustering.

Primary users

Data quality analysts and data engineers in the insurance industry.

Where it fits (process/stage/trigger)

Fits in the data quality assurance and reconciliation stages.

Key capabilities / workflow

Analyzes datasets, detects duplicates, performs record-linking, and generates detailed reports.

Inputs

Policy and claims databases, customer-level identifiers.

Outputs / Deliverables

Duplication and record-linking reports.

Value

Improves data integrity and accuracy by identifying and resolving duplicates.