User Data Set Merging With Common-User Detection

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Solution Overview

Problem

Existing systems lack efficient methods for automating the merging of data sets from multiple user groups while identifying common users, which is crucial for seamless transitions during mergers, acquisitions, and growth, affecting information continuity and work efficiency.

Innovation Solution

A system and method for merging multiple data sets by configuring them into a target format, evaluating for common users, generating a combined data set, and transmitting notification signals, while creating user-specific profiles associating users with applications, databases, and link registers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual methods are used to merge data sets during transitions, then information continuity can be maintained through careful verification, but the process is time-consuming and labor-intensive

Engineering Contradiction:

Improveinformation continuityVSAvoidtransition time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs self-verification by automatically evaluating data content across multiple data sets, identifying common users through algorithmic comparison of user profiles, and detecting duplicates without requiring manual verification. The computing system autonomously configures data into target formats, merges datasets, and transmits notifications, enabling the system to serve itself in maintaining information continuity while dramatically reducing transition time.

Inventive Principle:

Principle #25Self-service

2Productivity

If automated merging is implemented without common user identification, then processing speed increases, but information accuracy and user profile integrity deteriorate due to duplicate entries

Engineering Contradiction:

Improvedata merging speedVSAvoiduser profile accuracy

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The system performs preliminary evaluation of data content before executing the merge operation. It automatically compares user profiles across multiple data sets using configurable criteria (name, email, user ID) to identify common users in advance. This preliminary identification of duplicates allows the system to consolidate user profiles correctly during merging, ensuring accuracy while maintaining high processing speed through automated batch operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by transmitting notification signals when common users are identified or when merging is complete. This feedback loop allows verification of the merging process and enables corrective actions if needed, ensuring that user profile accuracy is maintained while benefiting from automated processing speed.

Inventive Principle:

Principle #23Feedback

3Reliability

If comprehensive user evaluation is performed to identify common users across all data sets, then user profile integrity is improved, but the complexity of the merging process increases

Engineering Contradiction:

Improveuser profile integrityVSAvoidmerging process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system segments the complex merging process into distinct modular steps: (1) configuring each data set into the target data format, (2) automatically evaluating data content to postulate common users, (3) generating the combined data set by adding configured data content, and (4) transmitting notification signals. This segmentation reduces overall process complexity by making each step independent and manageable, while still achieving comprehensive user profile integrity through the systematic evaluation of all data sets.

Inventive Principle:

Principle #1Segmentation

4Productivity

If data sets are merged without format standardization, then the merging process is simpler and faster, but data compatibility and system integration reliability deteriorate

Engineering Contradiction:

Improvemerging efficiencyVSAvoiddata compatibility

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system implements a universal target data format that can accommodate multiple source data set formats. The configuring step transforms various source formats into this standardized target format, enabling seamless integration and compatibility across different systems while maintaining merging efficiency through automated format conversion. This universal format serves as a common interface that simplifies subsequent processing and ensures reliable system integration.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260072642A1Systems and methods for merging data sets

Publication Date: 2026.03.12 TRUIST BANK

AI summary

A computing system merges data sets associated with user groups a combined data set. Each data set is associated with a unique user group. The combined data set is associated with a target user group including subsets of the user groups. The computing system performs steps including: configuring data content of each data set of the multiple data sets into the target data format; automatically evaluating the data sets to automatically postulate whether one or more users of the target user group are common to more than one of the subsets of users; and automatically transmitting a notification signal to the one or more agent device upon at least one of: postulating one or more users of the target user group are common to more than one of the subsets of users; and completion of generating the combined data set in the target data.