Visual Report Certification for Trustworthy Data Analytics

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Solution Overview

Problem

Current data analytics systems suffer from issues such as data duplication and inconsistent metrics, leading to a loss of trust in the reliability of the data presented for decision-making.

Innovation Solution

A method for data analytics that dynamically and automatically computes a level of certification for visual reports by applying a plurality of tests, including data quality, metadata, functional, security, accessibility, and performance tests, and displays a graphical representation of this certification to users.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If data analytics tools present significant quantities of data to users, then the comprehensiveness of information is improved, but the trustworthiness and reliability of the data deteriorates due to data duplication and inconsistent metrics

Engineering Contradiction:
Improvequantity of dataVSAvoidtrustworthiness of data
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The system implements automated certification tests that continuously evaluate data quality, metadata accuracy, functional correctness, security compliance, accessibility, and performance metrics. Test results provide feedback about data reliability, enabling users to assess trustworthiness objectively without reducing data quantity

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent replaces manual data verification and trust assessment with automated computational testing systems. Multiple automated tests evaluate various aspects of data quality and report generation, substituting human judgment with systematic mechanical verification processes that can handle large data volumes reliably

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

2Reliability

If multiple certification tests are applied to visual reports, then the reliability and trustworthiness of data is improved, but the complexity of the system increases

Engineering Contradiction:
Improvetrustworthiness of visual reportVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The certification system is divided into distinct modular test components: data quality tests, metadata tests, functional tests, security tests, accessibility tests, and performance tests. Each test module independently evaluates specific aspects of visual reports, making the overall complex system manageable through segmentation into standardized units

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent creates a universal certification framework that can evaluate multiple types of visual reports (dashboards, reports, visualizations) using the same set of standardized tests. The system performs multiple functions simultaneously: validating data quality, checking metadata accuracy, verifying functional correctness, assessing security compliance, ensuring accessibility, and measuring performance, all through a single integrated certification process

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Measurement precision

If automated certification tests are implemented, then the objectivity of data assessment is improved, but the time and resources required for validation increase

Engineering Contradiction:
Improveobjectivity of assessmentVSAvoidvalidation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs certification tests in advance before visual reports are presented to users. Data quality, metadata accuracy, and other critical aspects are validated beforehand, ensuring objectivity is established prior to user interaction. This preliminary certification prevents later time-consuming manual verification

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The automated certification system operates continuously, with tests running automatically as part of the data pipeline and report generation process. Rather than periodic manual checks, the system maintains continuous monitoring and validation, reducing overall validation time while preserving measurement precision through uninterrupted automated assessment

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS20250356055A1Dynamic and automatic certification in data analytics
Publication Date: 2025.11.20 WIIISDOM FRANCE
  • US20250356055A1 patent drawing
  • US20250356055A1 patent drawing
  • US20250356055A1 patent drawing

AI summary

The disclosure notably relates to a computer-method for data analytics. The method comprises, dynamically and automatically, obtaining one or more datasets, and a visual report generated based on the one or more datasets. The method also comprises applying a plurality of tests each to a subject element among the one or more datasets and/or the visual report. The method also comprises computing a level of certification for the visual report based on a number of tests providing a positive result.