Private Data Lineage Tracking in Business Integration

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current data integration processes lack effective tracking and reporting mechanisms for sensitive personal information, particularly in multinational business environments, leading to compliance challenges with regulations like GDPR and potential security breaches.

Innovation Solution

A system and method for tracking and reporting data model field values containing private individual data throughout the integration process, using a graphical user interface to map fieldname lineage and geographical movement, and applying security measures to ensure compliance and transparency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data integration processes are implemented in multinational business environments, then business operations and data exchange are enabled, but tracking and reporting of sensitive personal information becomes difficult leading to compliance challenges

Engineering Contradiction:

Improvebusiness operations capabilityVSAvoidtracking information of sensitive data

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The patent introduces an intermediary tracking system that sits between the data integration process and the final data destination. This intermediary component automatically monitors, logs, and reports the movement and manipulation of sensitive personal information throughout the integration process, enabling compliance without disrupting business operations. The tracking system acts as a mediator that captures metadata about data flow while allowing the actual business data exchange to continue uninterrupted.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive tracking of private individual data is implemented, then security and compliance are enhanced, but system complexity and implementation overhead increase

Engineering Contradiction:

Improvedata security and complianceVSAvoidtracking system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by establishing tracking rules, data classification schemas, and reporting templates before the data integration process begins. The system pre-configures what constitutes sensitive personal information, defines the tracking methodology, and sets up reporting structures in advance. This preliminary setup reduces complexity during actual data processing, as the tracking framework is already in place rather than being constructed in real-time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent utilizes parameter changes by dynamically adjusting tracking intensity and reporting frequency based on data sensitivity levels, business context, and regulatory requirements. Not all data fields are tracked with the same level of detail - the system modifies tracking parameters according to the specific data being processed, reducing overall system complexity while maintaining comprehensive security coverage where needed.

Inventive Principle:

Principle #35Parameter changes

3Ease of manufacture

If manual tracking methods are used for sensitive data, then implementation is simpler, but tracking accuracy and completeness deteriorate leading to potential security breaches

Engineering Contradiction:

Improveimplementation simplicityVSAvoiddata tracking accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent implements self-service tracking where the system automatically monitors its own data flow without requiring manual intervention. The tracking mechanism is embedded within the data integration process itself, enabling it to autonomously capture, log, and report sensitive information movement. This self-service approach eliminates human error while maintaining implementation simplicity, as the system performs tracking as an inherent function rather than requiring separate manual processes.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11741108B2System and method of intelligent detection of data model fieldname lineage and context of private individual data in business integration processes

Publication Date: 2023.08.29 BOOMI LP

AI summary

An information handling system operating a private individual data integration protection system comprising a processor receiving a query, submitted electronically, involving a request about private individual data and parsing elements the query, the processor correlating the query with private individual data manipulated within a business integration process modeled and deployed with a business integration application management system identifying data set field names via metadata and labels from the modeled business integration process matching private individual data identified in the query as being manipulated from a source input dataset to a destination dataset by operation of the business integration process, and transmitting a responsive report on the private individual data matching the received query indicating manipulation of the matching private individual data during the executed business integration process.