Transaction Aggregator for Customized Risk Reporting
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Solution Overview
Problem
Conventional risk assessment systems fail to provide customized transaction level data aggregates across multiple accounts, limiting their ability to meet the specific needs of individual information requesters, such as credit issuers, for risk management and bankruptcy prediction.
Innovation Solution
A system and method that combines user inquiries from multiple information requesters, assigns subkeys and superkeys to identify and link user inquiries, and aggregates transaction data from a transaction database to provide customized reports and statistics tailored to each requester's internal risk management policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If conventional risk assessment systems provide standardized risk assessment summaries to all information requesters, then consistency and conciseness of risk metrics are improved, but the ability to provide customized reports tailored to individual requester needs deteriorates
Solution Approach 1:
The patent segments the standardized risk assessment summary into multiple customizable views, allowing each information requester to select and aggregate specific transaction level data elements according to their individual needs while maintaining the core standardized metrics
Solution Approach 2:
The system dynamically generates customized reports by allowing information requesters to configure their own transaction level data aggregates based on their specific risk management policies, transforming the static standardized summary into an adaptive multi-view system
2Adaptability or versatility
If transaction level data is processed individually for each information requester, then customized reports can be provided, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary aggregation of transaction level data into standardized categories and metrics once, then allows multiple information requesters to selectively combine and customize these pre-processed data elements, avoiding redundant processing for each requester
Solution Approach 2:
The system merges multiple information requester inquiries by identifying common transaction level data aggregates needed across requesters, processing these aggregates once and distributing them to multiple requesters who can then customize their reports from the shared processed data
3Adaptability or versatility
If multiple separate queries are sent to the transaction database for each information requester, then specific requester needs can be addressed, but system load and processing overhead increase
Solution Approach 1:
The patent combines multiple information requester inquiries into a single aggregated query when possible, retrieving transaction level data once and distributing it to multiple requesters who can then filter and customize according to their specific needs, thereby reducing database load and processing overhead
Data Source
AI summary
Systems and methods for determining and reporting aggregated transaction level data regarding a particular user are disclosed. Based on the requests of one or more information requesters, an aggregator server can request transaction level data for all accounts associated with a particular user or a group of users from a transaction database. The transaction database returns raw transaction level data for accounts associated with the particular user to the aggregator server. The aggregator server can then parse the raw transaction level data based on a number of transaction level data elements and information requester input. The parsed raw transaction level data can then be used to determine the number of predefined or information requester defined transaction level data aggregates. The resulting transaction level data aggregates can then be sent in a report to the one or more information requesters.