Dynamic Validation Rules for Mixed-Schema Data Exchanges

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Solution Overview

Problem

Data exchanges face challenges in validating and executing operations across non-homogenous assets with non-standardized data descriptions, as existing systems are not optimized to transform and validate data descriptions efficiently, leading to inaccuracies and inefficiencies in data quality and processing.

Innovation Solution

Systems and methods generate dynamically tailored validation rules comprising standardized and non-standardized components to validate and execute operations across assets with both standardized and custom schemas, using a first validation rule portion for standardized attributes and a second portion specific to each asset type.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data descriptions are transformed to accommodate diverse data assets, then data exchange capability is improved, but data description standardization deteriorates

Engineering Contradiction:

Improvedata exchange capabilityVSAvoiddata description standardization

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The validation rule is segmented into a standardized portion (applying to all data descriptions) and a custom portion (specific to each asset type). This allows the system to maintain standardization for common validation needs while accommodating asset-specific requirements through the custom portion, thus resolving the contradiction between data exchange capability and data description standardization.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If validation rules are created for standardized schemas, then validation accuracy is improved, but applicability to non-standardized schemas deteriorates

Engineering Contradiction:

Improvevalidation accuracyVSAvoidapplicability to non-standardized schemas

Core Design Contradiction:

Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The validation rule is divided into a standardized validation rule portion that ensures accurate validation for standardized schemas and a custom validation rule portion that adapts to non-standardized schemas. This segmentation allows the system to maintain high validation accuracy for standard data while extending applicability to custom data structures.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The custom validation rule portion is generated specifically for each asset type based on its non-standardized schema, applying local quality validation tailored to the specific data structure requirements. This ensures that validation accuracy is maintained for each asset type's specific schema while the overall system remains applicable to both standardized and non-standardized schemas.

Inventive Principle:

Principle #3Local quality

3Adaptability or versatility

If data descriptions are transformed using non-uniform processes, then data flexibility is improved, but validation difficulty increases

Engineering Contradiction:

Improvedata flexibilityVSAvoidvalidation complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The validation process is segmented into a standardized validation portion that handles common validation tasks uniformly and a custom validation portion that addresses asset-specific requirements. This segmentation reduces overall validation complexity by allowing the standardized portion to handle bulk validation efficiently while the custom portion only processes specific asset types that require additional validation logic.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250265013A1Systems and methods for executing operations across data exchanges that comprise non-standardized data descriptions using dynamically generated validation rules

Publication Date: 2025.08.21 CAPITAL ONE SERVICES LLC

AI summary

Systems and methods use dynamically generated validation rules. These validation rules comprise a first validation rule portion that is generated using a standardized validation process (e.g., corresponding to a standardized schema) and a second validation rule portion that is generated using a validation process selected based on a non-standardized schema that is specific to a respective asset type of the plurality of respective asset types.