Learn about the value of entity resolution, the different types of software available, and key criteria for evaluation.
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USCIS chose Senzing entity resolution to provide data matching and relationship detection in its fraud detection solution.
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Senzing was included as a “fintech vendor worth considering” in the Aite-Novarica Risk Insights and Advisory Fintech Spotlight quarterly report.
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Learn more about how understanding exactly why an entity resolution match was or wasn't made helps build confidence in your data and business decisions.
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Learn 3 quick ways to install and explore Senzing. Get started and load data in minutes to our desktop tool or API software.
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Mike Barrett, head of anti-money laundering products, discusses the business and technical reasons why NICE Actimize decided to embed Senzing entity resolution into its AML product suite.
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Healthy Alliance chose Senzing entity resolution to create 360-degree views of individuals from 150+ data sources.
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451 Research’s Market Insight Report recognizes how Senzing entity resolution can solve a persistent pain point in enterprise data quality.
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Digital transformation needs entity resolution to achieve accurate 360-degree views of data about people, organizations and relationships.
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Learn about the six areas where the Senzing real-time AI for entity resolution stands apart from its competitors.
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Read our comprehensive list of capabilities to consider when evaluating whether to buy or build enterprise-grade entity resolution technology.
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Learn about how Senzing performs entity resolution beginning from the process when inbound records are received to when they are resolved.
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