Transaction Data Furnishing Interface for Rule Correction
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Solution Overview
Problem
Current techniques for determining whether transaction data should be transmitted to other entities are inefficient, especially when dealing with high volumes of data, and rely on manual review and multiple platforms for data collection and formatting.
Innovation Solution
A user interface and method for applying data processing rules to transaction data to determine furnishing decisions, allowing users to select and correct rules, and automatically updating decisions for associated accounts, thereby streamlining the identification and correction of non-compliant data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review and approval of each transaction is used to determine data transmission, then data accuracy and compliance are improved, but processing efficiency and productivity deteriorate when dealing with high volume transaction data
Solution Approach 1:
The patent segments the large volume of transaction data into smaller batches or groups that can be processed more efficiently. The system divides transaction data into manageable units, applies data processing rules to each segment, and handles suppressions in organized groups rather than requiring individual manual review of every single transaction, thus maintaining accuracy while improving processing throughput
Solution Approach 2:
The system implements self-service through automated data processing rules that can independently evaluate and determine furnishing decisions for transaction data without requiring manual intervention for each record. The automated rules engine processes transactions, identifies suppressions, and makes determinations autonomously, with manual review reserved only for exceptional cases or rule configuration, thereby dramatically improving processing efficiency while maintaining compliance standards
2Adaptability or versatility
If multiple platforms are used for data collection and formatting functions, then data processing capability is improved, but system complexity increases
Solution Approach 1:
The patent merges multiple data processing functions including data collection, formatting, validation, and furnishing decision-making into a single integrated system. Rather than requiring separate platforms for each function, the system combines these capabilities into one unified platform that handles the complete data processing workflow, reducing system complexity while maintaining comprehensive processing capability
Solution Approach 2:
The system implements multi-functionality by designing a universal data processing platform that can perform multiple functions: collecting transaction data from various sources, formatting data according to different requirements, applying data processing rules, determining furnishing decisions, and managing suppressions. This single universal system replaces the need for multiple specialized platforms, simplifying the overall system architecture while preserving full data processing capability
3Productivity
If automated data processing rules are applied to high volume transaction data, then productivity is improved, but the ability to handle complex compliance decisions deteriorates
Solution Approach 1:
The system implements dynamic compliance decision-making through configurable data processing rules that can be adjusted based on changing regulatory requirements and organizational policies. The rule engine allows for dynamic modification of processing logic, priority levels, and furnishing decisions without requiring system reconfiguration or manual review of every transaction, enabling the system to adapt to complex compliance scenarios while maintaining high processing efficiency
Solution Approach 2:
The system incorporates feedback mechanisms where compliance decisions and their outcomes are monitored and used to refine and improve data processing rules over time. The system learns from compliance decisions, adjusts rule priorities, and optimizes furnishing determinations based on feedback from regulatory changes and organizational policy updates, thereby enhancing compliance decision capability while maintaining automated processing efficiency
Data Source
AI summary
Systems and methods for a user interface for preventing data transmission including: applying data processing rules to a set of transaction data to determine a furnishing decision for a subset of the set of transaction data, receiving a selection of one or more data processing rules of the set of data processing rules; determining, based on the selected data processing rules, a list of accounts comprising at least a first account and a second account, wherein the first account is associated with the first data of the subset and the furnishing decision for the first data, and the second account is associated with the second data of the subset and the furnishing decision for the second data; changing the furnishing decision for the first data; and automatically updating the furnishing decision for data associated with each account of the list of accounts.