Peer Node Access Layers for Trusted Master Data

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Solution Overview

Problem

Existing Master Data Management (MDM) technologies fail to effectively manage poor source data quality, leading to redundant copies, data misrepresentations, and discrepancies, which negatively impact the integrity and trustworthiness of master data.

Innovation Solution

A strategic master data management blockchain computing platform with virtual machines and interconnected data processing nodes, implementing role-based and attribute-based access controls, and a distributed ledger to maintain data integrity and security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing MDM packages are used to manage data, then data integration and governance capabilities are provided, but source data quality issues persist leading to redundant copies and data discrepancies

Engineering Contradiction:

Improvedata integrityVSAvoiddata quality

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The system segments data management into distinct functional layers (access layer, network layer, service layer, data layer) with specialized components for different data quality aspects. Each layer handles specific quality concerns independently, allowing targeted improvement of data integrity without compromising overall system functionality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediary components including a data quality assessment service, matching service, and merger service that act as mediators between source systems and the master data repository. These intermediaries evaluate, compare, and reconcile data from multiple sources before integration, preventing poor quality data from contaminating the master record.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If multiple data sources are integrated to create a master record, then comprehensive data coverage is achieved, but data discrepancies and redundancies increase

Engineering Contradiction:

Improvedata coverageVSAvoiddata consistency

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system implements feedback mechanisms where data quality metrics are continuously monitored and fed back to the matching and merger services. This feedback loop enables dynamic adjustment of matching thresholds and merger strategies to maintain data consistency while accommodating diverse data sources. The quality assessment service provides ongoing feedback about data quality status.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent employs parameter changes by dynamically adjusting matching criteria, confidence thresholds, and merger parameters based on data source reliability assessments. The system can modify these parameters in real-time to optimize the balance between comprehensive data coverage and maintaining data consistency across integrated sources.

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If traditional MDM systems store and forward data copies, then data accessibility is improved, but data misrepresentations and quality degradation occur

Engineering Contradiction:

Improvedata accessibilityVSAvoiddata trustworthiness

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system uses controlled copying mechanisms where data is copied only after passing through quality assessment, matching, and validation services. The copying process includes embedding quality metadata and provenance information with each data copy, enabling tracking and verification of data trustworthiness throughout the system while maintaining accessibility.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent applies preliminary action by performing data quality assessment, validation, and reconciliation operations before data is copied or forwarded to the master data repository. This preliminary processing ensures that only high-quality, verified data copies are created and distributed, preventing quality degradation while maintaining data accessibility.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250330338A1Access layer systems of peer data processing nodes providing a security framework and trust controls

Publication Date: 2025.10.23 TRUIST BANK

AI summary

A strategic master data management blockchain computing platform includes virtual machine(s) configured and deployed to execute an operating system of the blockchain computing platform across a virtual network, and a plurality of interconnected data processing nodes each comprising a plurality of functional layers, where the plurality of functional layers comprise an identity management access layer that is configured to establish a blockchain computing function. The blockchain computing function includes defining (a) role-based access control (RBAC) policies for access to master data management blockchain services, and (b) attribute-based access control (ABAC) time-based rules restricting access to portions of master data. The blockchain computing function also maintains a security framework that controls access to processing node resources across the virtual network.