Transaction Data Publishing With Granular Access And Integrity Checks
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Solution Overview
Problem
Financial transaction data is conventionally published at a single level of access and granularity, lacking customization and integrity verification, and stakeholders cannot determine if the data has been altered, with donors waiting for quarterly reports to see how their donations are spent.
Innovation Solution
A system and method that enable real-time or near-real-time publishing of transaction data with customizable access levels based on audience characteristics, integrity verification, and social collaboration, using a transaction management platform with modules for linking financial accounts, monitoring changes, and providing user interfaces for data review.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If transaction data is published at a single level of access and granularity, then the publishing process is simple, but the data cannot be customized for different audiences and lacks adaptability
Solution Approach 1:
The patent segments transaction data into multiple levels of granularity and creates different publication channels (e.g., public website, donor portal, regulatory portal) that can display data at appropriate detail levels. Each stakeholder group receives customized data views based on their needs, with donors seeing detailed transaction information while the general public sees summarized data.
Solution Approach 2:
The system dynamically adjusts data presentation based on user characteristics, access permissions, and stakeholder type. The publication system automatically customizes data granularity and format for different audiences without requiring manual configuration for each user, enabling adaptability while maintaining system efficiency.
2Reliability
If transaction data is published without integrity verification mechanisms, then the publishing process is faster and simpler, but stakeholders cannot determine if data has been altered or deleted
Solution Approach 1:
The system performs preliminary integrity verification by generating cryptographic hashes of transaction data at the source before publication. These hashes are stored and used to verify data integrity throughout the publication process, ensuring that any alterations or deletions can be detected without adding complex verification steps at each publication point.
Solution Approach 2:
The patent introduces an intermediary verification layer that uses cryptographic techniques to certify data integrity. This intermediary system acts as a trusted third party that can verify data has not been altered without requiring the publishing organization to implement complex internal verification mechanisms.
3Loss of information
If donors wait for quarterly or annual reports to see how their donations are spent, then the reporting process is simpler, but donors experience delays and reduced transparency
Solution Approach 1:
The system implements continuous real-time publication of transaction data through automated feeds that update immediately when new transactions occur. Donors can continuously access and monitor their donation usage without waiting for periodic reports, maintaining uninterrupted transparency while the system handles the continuous data flow efficiently through automated processes.
4Reliability
If transaction data is published with detailed granularity for all users, then data transparency is maximized, but the system becomes vulnerable to fraud and unauthorized alterations
Solution Approach 1:
The patent applies different levels of data granularity and access permissions to different user groups and locations. Sensitive financial data is made transparent to authorized stakeholders through verified channels, while public-facing platforms receive appropriately sanitized summaries. This local differentiation maintains transparency where needed while protecting against fraud through controlled access.
Data Source
AI summary
Techniques for augmenting transparency of published transaction data are described. The techniques can include one or more of associating a financial account with an account of a user at a transaction management platform, receiving transaction data from the financial account, categorizing the transaction data, publishing the transaction data, assigning permission levels to user for different levels of access to the amount and granularity of published transaction data, storing an immutable record of transaction data from which changes to the transaction data can be determined, and enabling crowd intelligence about the entity, account, or transactions by recording interaction of users of the published transaction data.


