Automated Data Model Validation System for Governance

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Manual governance reviews of data models are time-consuming and inefficient, lacking real-time feedback, which hampers performance assessment and adherence to industry standards.

Innovation Solution

A system with a processor and memory that automates data model validation by applying rules to data models, generating reports, and calculating adherence scores, allowing for real-time feedback and efficient review processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual governance review is conducted to validate data models, then adherence to industry standards and best practices is ensured, but the review process becomes time-consuming and inefficient

Engineering Contradiction:

Improveadherence to industry standardsVSAvoidreview process duration

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical review process with an automated computer-based system that applies predefined rules and algorithms to validate data models, thereby maintaining adherence to standards while eliminating time-consuming manual efforts

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables data models to be automatically validated against governance rules without requiring manual intervention, allowing the validation process to serve itself through automated rule application and adherence score calculation

Inventive Principle:

Principle #25Self-service

2Measurement precision

If manual governance review is conducted to assess data modeler performance, then performance evaluation is achieved, but real-time feedback cannot be obtained during creation

Engineering Contradiction:

Improveperformance assessment accuracyVSAvoidfeedback timing

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system implements automated feedback by calculating adherence scores and generating reports that provide immediate performance evaluation results to data modelers during the creation process, enabling real-time adjustments and continuous improvement

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs validation and performance assessment actions in advance during data model creation rather than conducting retrospective manual reviews, allowing issues to be identified and corrected before deployment

Inventive Principle:

Principle #10Preliminary action

3Manufacturing precision

If comprehensive rules are applied to validate each object in data models, then validation thoroughness is improved, but system complexity increases

Engineering Contradiction:

Improvevalidation thoroughnessVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system segments the validation process into discrete, manageable rules that can be independently applied to different objects within data models, allowing comprehensive validation while maintaining system organization and reducing complexity through modular rule structures

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12066988B2Computer-automated analysis and validation systems for data models

Publication Date: 2024.08.20 CIGNA INTPROP

AI summary

A system includes a processor and a memory storing instructions. The instructions include, in response to receiving a first input indicating a first data model from a user device, obtaining the first data model and identifying objects within the first data model. The instructions include obtaining a set of rules and, for each rule of the set of rules, applying the rule to each object to determine an adherence of the object to the rule or a violation of the object of the rule. The instructions include generating a report that indicates, for each rule and for each object, the adherence of the object to the rule or the violation of the object of the rule and calculating an adherence score based on an overall adherence of the objects to the set of rules. The instructions include transmitting, for display on the user device, the generated report and adherence score.