Professional Profile Aggregation Using Unique Identifier Segmentation

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Solution Overview

Problem

Current professional profile products fail to uniquely identify individuals and business entities, and their relationships, leading to data duplication and lack of validation for premium contact information like email addresses and direct-dial phone numbers.

Innovation Solution

A method that matches data from multiple sources to unique identifiers in repository databases, consolidating records into a unified profile by appending unique business, individual, and role identifiers, ensuring data accuracy and completeness through automated processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multiple data sources are merged to build professional profiles, then data completeness is improved, but data accuracy deteriorates due to potential duplication of individual records

Engineering Contradiction:

Improvedata completenessVSAvoiddata accuracy

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent segments the identification process into distinct components: individual identification (using personal identifiers), business entity identification (using business identifiers), and role identification (using role-specific identifiers). This segmentation allows each aspect to be validated independently, preventing duplication while maintaining data completeness from multiple sources.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements feedback mechanisms through validation processes that check data against multiple sources and provide confirmation or correction. The matching process compares incoming data with existing records and provides feedback on matches, ensuring accuracy while consolidating complete information.

Inventive Principle:

Principle #23Feedback

2Reliability

If robust matching processes are implemented to uniquely identify individuals and businesses, then data accuracy is improved, but processing complexity increases

Engineering Contradiction:

Improvedata accuracyVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The matching process is segmented into separate validation steps: individual identification validation, business entity validation, and role identification validation. This segmentation reduces processing complexity by breaking down the complex matching task into manageable, independent validation routines that can be executed systematically.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary validation and identification matching before full data consolidation. By pre-qualifying records through initial matching against identification databases and appending unique identifiers, the system simplifies subsequent processing and reduces the complexity of the overall matching operation.

Inventive Principle:

Principle #10Preliminary action

3Manufacturing precision

If premium contact information is validated and aggregated, then data quality is improved, but processing time increases

Engineering Contradiction:

Improvedata qualityVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary validation of premium contact information during the initial data ingestion phase. Email addresses and direct-dial phone numbers are validated and associated with unique identifiers before full profile consolidation, reducing processing time while maintaining high data quality through upfront verification.

Inventive Principle:

Principle #10Preliminary action

4Productivity

If automated matching and consolidation processes are implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvedata processing efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated system is segmented into distinct functional modules: data reception, validation against identification databases, unique identifier appending, matching logic, and consolidation. This modular segmentation enables high productivity through automated batch processing while managing system complexity through clear separation of concerns and standardized interfaces between modules.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS8930383B2System and method for aggregation and association of professional affiliation data with commercial data content

Publication Date: 2015.01.06 THE DUN & BRADSTREET CORP

AI summary

There is provided a method that includes (i) receiving a first record that contains an identity of an individual, a name of a business, and a role of the individual in the business, (ii) matching the first record to data that provides a unique business identifier for the business, (iii) matching the first record to data that provides a unique individual identifier for the individual, (iii) appending to the first record (a) the unique business identifier, (b) the unique individual identifier, and (c) a unique role identifier for the role of the individual in the business, (iv) matching the first record to a second record based on the unique business identifier, the unique individual identifier, and the unique role identifier, and (v) consolidating the first and second records into a resultant record.