GRC Platform Data Retrieval Termination Logic

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Solution Overview

Problem

Conventional GRC processing platforms waste resources by retrieving data from external sources even when it is rejected or not processed, due to periodic data retrieval without logical condition checks.

Innovation Solution

Implementing a method where the GRC processing platform terminates data retrieval from an external source if the transformed data does not satisfy specified logical conditions, using a data transformer to convert data formats and check for compliance with GRC rules, thereby optimizing resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data retrieval is performed periodically from external data sources according to a set schedule, then data is obtained regularly for processing, but processing resources are wasted when retrieved data does not satisfy logical conditions and is rejected

Engineering Contradiction:
Improvedata retrieval reliabilityVSAvoidprocessing resource waste
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by performing a preliminary check of data retrieval conditions before actually initiating data retrieval from external sources. The system evaluates logical conditions and data source status in advance, and only retrieves data when conditions are satisfied, thereby avoiding wasted processing resources on unnecessary retrievals while maintaining reliable data collection when needed

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms where the system continuously monitors data source status and evaluates whether retrieved data satisfies logical conditions. Based on this feedback, the system dynamically adjusts its retrieval behavior - terminating retrieval when data is unavailable or conditions are not met, and continuing when conditions are satisfied, thus optimizing resource usage while ensuring reliable data acquisition

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If data transformation is performed on all retrieved data to convert from first format to second format, then data is made compatible with GRC applications, but unnecessary processing occurs when data will ultimately be rejected based on logical conditions

Engineering Contradiction:
Improvedata format compatibilityVSAvoidprocessing efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent applies preliminary action by performing preliminary condition evaluation before data transformation. The system checks whether retrieved data satisfies logical conditions before investing resources in format transformation, ensuring that transformation is only performed on data that will ultimately be used by GRC applications, thereby maintaining adaptability while improving productivity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements local quality by applying data transformation selectively rather than uniformly to all retrieved data. The system transforms data format locally - only for specific data items that satisfy logical conditions and are destined for GRC application processing - while leaving other data untouched, thus optimizing processing efficiency without compromising format compatibility where needed

Inventive Principle:
Principle #3Local quality

3Quantity of substance

If data retrieval continues without termination even when data is not appropriate for the application, then complete data sets are obtained, but processing time and resources are unnecessarily consumed

Engineering Contradiction:
Improvedata volumeVSAvoidprocessing time
Core Design Contradiction:
Quantity of substanceVSLoss of time

Solution Approach 1:

The patent implements feedback by continuously monitoring whether retrieved data satisfies logical conditions during the retrieval process. When the system determines that data does not meet conditions or is not appropriate for GRC applications, it provides feedback to terminate retrieval early, thus reducing processing time while ensuring that only appropriate data is processed

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies partial action by performing only the necessary portion of data retrieval and transformation - stopping exactly when conditions are not met rather than completing full scheduled retrieval cycles. This ensures sufficient data is obtained for valid processing while avoiding excessive action that would waste time on inappropriate data

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10140267B1Efficient operation of GRC processing platforms
Publication Date: 2018.11.27 ARCHER TECHNOLOGIES LLC
  • US10140267B1 patent drawing
  • US10140267B1 patent drawing
  • US10140267B1 patent drawing

AI summary

Techniques of operating a GRC processing platform involve terminating retrieval activity in a data source when the data source indicates that there is no data to be obtained that satisfies a specified logical condition. Along these lines, a user of the GRC processing platform provides instructions to retrieve data from an external data source. As part of the data retrieval, the GRC processing platform accesses data from the external source and transforms the data from a first format (e.g., XML) to a second format (e.g., XML) appropriate for an application that runs on the GRC processing platform. After the transformation, the GRC processing platform receives an indication that the transformed data satisfies a logical condition indicating that the data being retrieved is not desired for the application. In this case, the GRC processing platform terminates the data retrieval.