Automatic Data Purge Verification with Real-Time Error Correction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing data purging systems face challenges in ensuring accurate and reliable data removal, leading to incomplete or incorrect purges that can result in inadvertent data retention or permanent loss, particularly in large-scale operations.

Innovation Solution

Implementing a data purging system with real-time verification mechanisms that automatically check purge results against policies, allowing for error correction and adjusting the purging process to ensure compliance with predefined criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated purging operations are performed without verification, then productivity is improved through faster data removal, but reliability deteriorates due to purging errors that may retain data that should be purged or permanently destroy data that should be preserved

Engineering Contradiction:
Improvedata purging speedVSAvoidpurging accuracy
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system implements a verification component that monitors and verifies the results of purging operations in real-time. This feedback mechanism compares actual purging outcomes against expected outcomes based on purge policies, automatically detecting and correcting errors without manual intervention, thus maintaining both high productivity and reliability

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary verification checks before finalizing purging operations. By预先 validating purge criteria and checking data against retention policies before actual deletion occurs, the system prevents erroneous purges while maintaining efficient automated operation

Inventive Principle:
Principle #10Preliminary action

2Reliability

If manual verification of purge operations is implemented, then reliability is improved through accurate verification, but productivity deteriorates due to increased time and resources required for verification

Engineering Contradiction:
Improvepurge verification accuracyVSAvoidpurging efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The verification component operates autonomously to self-verify purging operations. It automatically compares purge results against purge policies and detects errors without requiring manual verification, thereby maintaining high reliability while preserving purging efficiency and productivity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements automated feedback loops where verification results are immediately fed back to correct any purging errors. This automated verification and correction process eliminates the need for time-consuming manual verification while maintaining accurate purge operations

Inventive Principle:
Principle #23Feedback

3Manufacturing precision

If comprehensive verification of all data items is performed, then manufacturing precision is improved through accurate purge verification, but device complexity increases due to additional verification mechanisms

Engineering Contradiction:
Improvepurge verification precisionVSAvoidsystem architecture complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The verification functionality is extracted as a separate, modular verification component that operates independently from the main purging engine. This modular architecture provides comprehensive verification precision while managing system complexity through clear separation of concerns and independent verification logic

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS12353373B2Automatic data purge verification
Publication Date: 2025.07.08 SAP SE
  • US12353373B2 patent drawing
  • US12353373B2 patent drawing
  • US12353373B2 patent drawing

AI summary

Systems and methods described herein relate to the real-time verification of data purges. A first subprocess of a data purging process is executed to purge a plurality of data items. A system accesses purge result data providing an indication of a result of the first subprocess. The system determines, based on the purge result data, that the first subprocess was not executed in accordance with a purge policy associated with the data purging process. In response to determining that the first subprocess was not executed in accordance with the purge policy, the system adjusts a state of the data purging process. A second subprocess of the data purging process is then executed according to the adjusted state.