Connected Data Links Across Frameworks for Consistent Reporting

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Solution Overview

Problem

Existing systems face challenges in efficiently maintaining consistency and accuracy of data across multiple data collections, particularly in generating reports for entities like corporations, due to varying question formats and increasing complexity, which complicates tasks such as ESG reporting.

Innovation Solution

A system is developed that enables the establishment and maintenance of direct connections between data points across different data frameworks, allowing for efficient discovery, display, and updating of associated data points, using a web application with backend and frontend components to facilitate consistent reporting.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If data is stored in separate data collections with different frameworks, then data can be organized according to specific report requirements, but maintaining consistency and accuracy across multiple data collections becomes complex and error-prone

Engineering Contradiction:

Improvedata organization flexibilityVSAvoiddata consistency

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system segments data into separate data collections (frameworks) organized by report type, while maintaining linkages between related data points across frameworks. This allows flexible organization of ESG data, financial data, and other report-specific data while preserving the ability to maintain consistency through the connection mechanism.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary connection mechanism that links data points across different data frameworks. This intermediary layer enables consistency maintenance by allowing the system to discover, compare, and synchronize related data points across frameworks without requiring a rigid centralized structure.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of manufacture

If multiple data collections are maintained separately, then specialized data structures can be used for different report types, but discovering and updating related data across collections becomes time-consuming

Engineering Contradiction:

Improvedata structure specializationVSAvoiddata discovery time

Core Design Contradiction:

Ease of manufactureVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-establishing connections between data points that are likely to be related across different frameworks. The connection mechanism is set up in advance, enabling rapid discovery of related data when reports need to be generated or updated, without requiring time-consuming searches across all data collections.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms that automatically notify and update connected data points when changes are made to any data in the system. This feedback loop ensures that related data across different frameworks is automatically synchronized, reducing the time required to maintain data consistency across specialized data structures.

Inventive Principle:

Principle #23Feedback

3Reliability

If data points are connected across different frameworks, then consistency can be maintained, but the system complexity increases due to managing relationships between data points

Engineering Contradiction:

Improvedata consistencyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system implements a universal connection mechanism that can link data points across any data framework using a standardized approach. This multi-functional connection system handles various types of data relationships (ESG to financial, report-to-report, etc.) through a single unified mechanism, reducing system complexity compared to having separate management systems for each type of relationship.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Measurement precision

If manual updates are performed for each data point, then data accuracy can be controlled, but productivity decreases due to repetitive updating across multiple reports

Engineering Contradiction:

Improvedata accuracyVSAvoidreporting efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system merges the updating operation across multiple connected data points into a single action. When a data point is updated, the system automatically propagates the change to all connected data points across different frameworks, maintaining data accuracy while dramatically improving productivity by eliminating repetitive manual updates.

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS12579157B2Connected data across data frameworks

Publication Date: 2026.03.17 NASDAQ INC

AI summary

Example implementations of this disclosure relate to establishing and maintaining connections among data items that may be used for various reporting and/or display purposes. Connected data items may be differently named and may be in the same or different data collections. User interfaces are provided so that for a particular response data item, its associated other response data items can be found, viewed and operated upon by administrative users and/or client users efficiently in order to ensure consistency of the response data across multiple target output reports. Example implementations also include techniques implemented in front end systems and/or backend systems for efficiently searching for connectable data items, and to efficiently store and maintain the data items and their connections.