Staging Platform for Incomplete Transaction Data Enrichment
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Solution Overview
Problem
Conventional transaction processing systems require complete data sets via APIs, making it difficult to process incomplete transactions as they specify specific entities, leading to limitations in data usability across disparate systems.
Innovation Solution
A method and system that utilize a staging platform to receive incomplete data, correlate it with contextual data using a ranking model, assign confidence levels, and generate augmented data that satisfies transaction completion criteria, enabling the completion of transactions even with missing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional transaction processing systems require complete data sets via APIs, then data completeness is ensured, but adaptability to handle incomplete transactions deteriorates
Solution Approach 1:
The patent introduces a staging platform as an intermediary between the source application and target application. This platform receives incomplete transaction data, enriches it with contextual information from multiple sources, and transforms it into complete transaction records. The staging platform acts as a mediator that bridges the gap between incomplete input data and the complete data requirements of conventional transaction processing systems.
Solution Approach 2:
The system performs preliminary actions by pre-fetching and storing contextual data from multiple sources before the transaction completion step. The staging platform proactively gathers additional information, validates data quality, and prepares enriched transaction records in advance, so that when incomplete transactions are received, the necessary contextual data is already available to complete them.
2Adaptability or versatility
If contextual data is obtained from multiple sources to complete transactions, then data usability is improved, but device complexity increases
Solution Approach 1:
The staging platform is designed as a universal system that can handle multiple types of incomplete transactions and integrate with various data sources. It implements a standardized enrichment process that works across different transaction types, applications, and data sources, reducing the need for application-specific complex logic in each integrating system.
Solution Approach 2:
The system implements self-service mechanisms through automated data validation, quality assessment, and enrichment processes. The staging platform automatically determines which contextual data sources to query, validates the completeness and quality of received data, and makes intelligent decisions about data transformation without requiring manual intervention or complex configuration for each transaction type.
3Measurement precision
If confidence levels are assigned to contextual data using a ranking model, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system transforms the quality assessment of contextual data into a quantifiable parameter - the confidence level. By converting qualitative judgments about data reliability into numerical confidence scores, the system enables automated decision-making about which contextual data to use for completing transactions. This parameter transformation simplifies the complexity of quality assessment while maintaining precision.
Data Source
AI summary
A method may include receiving, from a source application, partial data that is incomplete for use by a target application, obtaining a set of contextual data correlated with the partial data, assigning, using a ranking model, confidence levels to the set of contextual data, selecting, from the set of contextual data, contextual data according to the confidence levels assigned to the set of contextual data, generating augmented partial data using the contextual data and the partial data, determining that the augmented partial data satisfies a transaction completion criterion of a transaction schema, and in response to determining that the augmented partial data satisfies the transaction completion criterion, sending the augmented partial data to a transaction store used by the target application.