EFT Transaction Country Identification via Alias Table Matching
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Solution Overview
Problem
Current anti-money laundering systems face challenges in accurately identifying countries involved in electronic funds transfers, leading to inaccurate risk assessments and high rates of false positive alerts due to incomplete or inconsistent participant information.
Innovation Solution
A computer-implemented method and system that utilizes an alias table to identify countries associated with EFT participants by matching EFT data with country information, improving the accuracy of risk assessments and reducing false alerts through enhanced country identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If default country entries are used when country identification fails, then processing can continue, but risk assessment accuracy deteriorates
Solution Approach 1:
The patent introduces an intermediary lookup process that queries multiple data sources (alias tables, knowledge bases, participant databases) to resolve country identification before finalizing risk assessment. This intermediary step prevents premature use of default values by attempting alternative identification methods first, thereby maintaining both processing continuity and assessment accuracy.
2Measurement precision
If comprehensive participant information collection is implemented, then risk assessment accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements preliminary data enrichment by pre-populating alias tables, knowledge bases, and participant databases with country information before transaction processing. This preliminary action allows the system to quickly resolve country identifiers during transaction processing without adding complex real-time analysis, thereby improving accuracy while managing system complexity.
3Measurement precision
If multiple data sources are queried for country identification, then identification accuracy improves, but processing time increases
Solution Approach 1:
The patent pre-queries and caches country information from multiple data sources into alias tables and knowledge bases before transaction processing. During actual transactions, the system performs rapid lookups in these pre-populated structures rather than querying multiple external sources in real-time, thereby maintaining high identification accuracy while minimizing processing time delays.
Data Source
AI summary
Embodiments of the invention are directed to a computer-implemented method for facilitating risk assessment for an EFT transaction. The transaction occurs between at least an originating participant and a destination participant. The method includes maintaining an alias table stored in a computer memory, the alias table containing country information for facilitating identification of a corresponding country associated with at least one EFT participant. The method additionally includes making a country identification implementing a computer processor through consultation with the alias table and execution of a matching process, the matching process incorporating the EFT data and alias table country information to identify the corresponding country. The method further includes passing the country identification to risk analysis components for evaluating risk associated with the transaction.