Automated Compliance Data Maintenance via Caching and Throttling

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Solution Overview

Problem

Maintaining up-to-date data in compliance and e-discovery platforms is inefficient due to the complexity of data sets and requires manual tasks, making it difficult to manage and update user and team content data effectively.

Innovation Solution

A computerized method that automatically caches and updates user and team content data by obtaining data from user and team data platforms, using timestamp analysis to identify stale data, and employing parallel threads and command time throttling to manage resources and avoid throttling limitations, ensuring compliance platform data is current without excessive resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual tasks are used to maintain and update data in compliance platforms, then data accuracy can be ensured through human review, but the time and resources required increase significantly

Engineering Contradiction:
Improvedata accuracyVSAvoidtime required for data maintenance
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-service by automatically detecting, retrieving, and updating compliance data without human intervention. The automated data maintenance system monitors data sources, identifies updates, and applies changes autonomously, eliminating the need for manual data maintenance while ensuring accuracy through systematic validation processes.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical operations (human review and updates) are replaced with an automated computerized system that uses algorithms to detect data changes, retrieve updated information, and maintain compliance data. This substitution eliminates manual labor while maintaining data accuracy through automated validation and error handling mechanisms.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If frequent data updates are performed to keep compliance platform data current, then data currency is improved, but resource usage and throttling risks increase

Engineering Contradiction:
Improvedata currencyVSAvoidresource usage
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

Instead of continuous updating, the system employs periodic action by checking for data updates at scheduled intervals and only when changes are detected. The automated system monitors data sources periodically, retrieves updates only when necessary, and applies changes at appropriate times, reducing unnecessary resource consumption while maintaining data currency.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system uses feedback mechanisms to monitor data change status and adjust update frequency accordingly. By detecting when data has actually changed versus when it remains static, the system intelligently triggers updates only when necessary, preventing wasteful resource usage on unchanged data while ensuring compliance data remains current when changes occur.

Inventive Principle:
Principle #23Feedback

3Quantity of substance

If comprehensive data sets are maintained to cover all compliance cases, then coverage and completeness are improved, but system complexity increases

Engineering Contradiction:
Improvedata coverageVSAvoidsystem complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The comprehensive compliance data system is segmented into modular components, with each compliance case organized as a separate entity with its own data structure. This segmentation allows the system to manage large quantities of data through standardized, reusable templates and reduces overall complexity by breaking down the monolithic system into manageable, independent units that can be maintained separately.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20240296461A1Automatically maintaining content data on a compliance platform
Publication Date: 2024.09.05 MASTERCARD INT INC
  • US20240296461A1 patent drawing
  • US20240296461A1 patent drawing
  • US20240296461A1 patent drawing

AI summary

The disclosure herein describes automatically maintaining and updating content data on a compliance platform. Case content data is obtained from a compliance platform and cached in a case cache, including user content data and team content data associated with users of cases on the compliance platform. Team content data is then obtained from a team data platform and cached in a team cache. User content data and team content data on the compliance platform that needs to be updated is identified using the cached case content data and the cached data in the team cache. Up-to-date content data corresponding to the identified user content data and identified team content data from a user data platform and the team cache is then used to update compliance cases on the compliance platform. The compliance cases of the compliance platform are updated periodically and automatically using the described processes.