When Entity Resolution Stops Short, Graph Search Exposes Duplicate Networks and Coverage Gaps
Blog post from TigerGraph
Entity resolution often encounters quality issues such as duplicate identities, incomplete clusters, and coverage gaps, which are hard to detect through traditional record-level reviews. These issues arise when resolution logic fails to recognize overlapping networks or stops expanding prematurely, leading to inconsistent reviews and gaps in decision-making. Graph search offers a solution by allowing teams to explore the structural relationships between entities, identify duplicate networks, detect split clusters, and reveal coverage gaps that are not evident in flat views. This structural approach to quality assurance shifts the focus from individual match correctness to overall resolution completeness, making silent failures diagnosable and improving the accuracy of systems like fraud detection and anti-money laundering programs. TigerGraph supports this process by enabling scalable graph searches that surface these hidden patterns and preserve the evidence needed for quality assurance and remediation.
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