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Entity Resolution and Linking: Enabling Next-Generation Financial Crime Detection

Entity Resolution and Linking: Enabling Next-Generation Financial Crime Detection

Customer data is an invaluable asset to banks, but only when technology is leveraged to bring hidden insights to the surface.

Boston, April 25, 2019 – Many banks and fintech providers are making substantial investments in advanced analytics that can help them harness the power of internal and external data to combat financial crimes. Though this approach can be powerful, advanced analytics are only as good as the data inputs. Critical components of the next-generation approach to financial crime mitigation include effective data wrangling, dynamic segmentation, entity resolution, and network link analysis. So how can firms gain these abilities?

This report identifies the key capabilities that banks need to help them effectively and efficiently harness their data and turn it into their biggest asset in financial crime detection. It also assesses the entity resolution, dynamic segmentation, and link analysis capabilities of 15 vendors: Arachnys, Ayasdi, BAE Systems, DataVisor, Featurespace, Feedzai, FICO, IBM, Nice Actimize, Pitney Bowes, QuantaVerse, Quantiply, Quantexa, SAS, and Simility. It is informed by over 40 interviews conducted from Q2 2018 to Q1 2019 with financial executives responsible for anti-money laundering compliance or fraud in financial services firms across five continents, as well as interviews with over 20 vendors in the financial crime space.

This 39-page Impact Report contains three figures and nine tables. Clients of Aite Group’s Fraud & AML service can download this report, the corresponding charts, and the Executive Impact Deck.

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This report mentions Senzing.