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The table below summarises some key information about Collect from LexisNexis Risk Solutions and Merchant Acquiring Fraud Prevention from Featurespace, giving you some points to compare.
Collect | Merchant Acquiring Fraud Prevention | |
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Product Description |
Collect by LexisNexis Risk Solutions is an advanced data aggregation and analytics platform designed to help organizations gather and analyze large datasets for compliance, risk management, and business intelligence purposes. By integrating data from multiple sources, Collect delivers actionable insights that support strategic decision-making and operational improvements. The platform features robust data enrichment tools, customizable reporting, and seamless integration capabilities, making it an essential tool for organizations looking to enhance their data-driven strategies. |
Featurespace's Merchant Acquiring Fraud Prevention solution protects payment acquirers from evolving fraud threats. Leveraging machine learning and real-time analytics, the platform monitors transactions and merchant activities to detect anomalies and flag high-risk behaviors. This solution ensures compliance with regulatory standards while safeguarding against financial losses. The platform supports customized fraud rules and integrates seamlessly with acquiring systems, providing acquirers with actionable insights. Featurespace's solution helps maintain a secure ecosystem for merchants, acquirers, and customers, ensuring trust and operational efficiency. |
Vendor | LexisNexis Risk Solutions | Featurespace |
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Vendor Headquarters | United States | United Kingdom |
Vendor Founded | 1970 | 2008 |
About the vendors |
LexisNexis Risk Solutions is a global data and analytics company that provides information-based analytics, decision tools, and data management services to help organizations make informed decisions, stay compliant, reduce risk, and improve operations |
Featurespace offer solutions to fight enterprise fraud and financial crime, powered by their Adaptive Behavioral Analytics |
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