Dynamic Data Collection Framework for Customizable User Tools

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Solution Overview

Problem

Current data management systems are inefficient in collecting and validating data from diverse sources, leading to excessive development and maintenance costs due to the need for custom solutions for each implementation, especially when data is collected from geographically dispersed information providers.

Innovation Solution

A web-based framework that allows users to dynamically define and customize data collection tools by selecting from multiple data dimensions, enabling the creation of user-defined data collection tools with a reusable framework, which can accommodate various data submission schemes and provide a user-friendly interface for complex data collection tasks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a custom data collection system is implemented for each firm, then the system can be tailored to specific requirements, but development and maintenance costs increase excessively

Engineering Contradiction:
Improvetailoring to requirementsVSAvoiddevelopment and maintenance costs
Core Design Contradiction:
Adaptability or versatilityVSEase of manufacture

Solution Approach 1:

The patent implements a universal data collection framework that can serve multiple firms and purposes through configurable parameters. The system uses a common architecture with reusable components that can be adapted to different data collection needs through configuration rather than custom development, eliminating the need for separate custom systems for each firm while maintaining the ability to tailor to specific requirements.

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

2Ease of manufacture

If a universal data collection system is used, then development and maintenance costs are reduced, but the system cannot be tailored to specific firm requirements

Engineering Contradiction:
Improvedevelopment and maintenance costsVSAvoidtailoring to requirements
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent employs dynamic configuration capabilities that allow the universal system to adapt to specific firm requirements at runtime. Users can configure data collection parameters, dimensions, and validation rules dynamically without requiring custom development. The system transitions from a static universal design to a dynamically adaptable solution through user-configurable parameters and settings.

Inventive Principle:
Principle #15Dynamics

3Quantity of substance

If complex data collection tasks are implemented, then rich and complex information can be collected, but the interface becomes difficult to use

Engineering Contradiction:
Improverich and complex informationVSAvoiduser interface complexity
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The patent segments complex data collection tasks into smaller, manageable components and dimensions. The interface presents data collection as a series of discrete, configurable parameters and dimensions that users can select and configure independently. This breakdown of complex tasks into modular segments makes the interface more manageable and easier to use while still enabling collection of rich and complex information through combination of multiple dimensions.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10706123B2Dynamic data collection
Publication Date: 2020.07.07 KYNDRYL INC
  • US10706123B2 patent drawing
  • US10706123B2 patent drawing
  • US10706123B2 patent drawing

AI summary

A method, and an associated computer system and computer program product. A web-based framework, which includes a table, is generated. The table includes a reusable customizable filter configured for customized use by an end-user at each end-user computer of multiple end-user computers for generating respective user-defined data collection tools specific to each user-defined computer. The web-based framework is transmitted to one end-user computer, after which a user-defined data collection tool including the table is received from the one end-user computer. The user-defined data collection tool is populated with measures located at the table's intersections. The measures are a function of a measure of a dependent variable selected from the customizable filter and two independent variables characterizing intersections in the table. The user-defined data collection tool is specific to the one end-user computer and is customized for the data collection populated by the one end-user computer at each intersection.