Multi-source Merchant Analytics Platform Using Distributed Linking Node Mesh

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Solution Overview

Problem

Current systems lack an efficient and integrated platform for managing and analyzing multi-source, multi-dimensional consumer data across various entities and platforms, limiting the ability to provide personalized services and insights effectively.

Innovation Solution

The development of a MULTI-SOURCE, MULTI-DIMENSIONAL, CROSS-ENTITY, MULTIMEDIA MERCHANT ANALYTICS DATABASE PLATFORM (MDB) that aggregates and processes data from various sources to generate updated entity profiles, social graphs, and investment recommendations, utilizing components like mesh servers, data normalization, and entity correlation to provide centralized personal information and analytics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If data is aggregated from multiple sources and dimensions across various entities, then the completeness and personalization of consumer profiles is improved, but the system complexity and data management difficulty increase

Engineering Contradiction:

Improveconsumer data completenessVSAvoidplatform complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the complex data aggregation system into distinct functional modules including data collection components, data normalization components, entity correlation components, and profile generation components. Each module handles specific aspects of multi-source data processing independently, reducing overall system complexity while maintaining comprehensive data aggregation capabilities across social media, e-commerce, and financial platforms

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces intermediary layers including data normalization components that standardize data from different sources, and entity correlation components that bridge connections between various data entities. These intermediaries facilitate seamless integration of multi-dimensional data while abstracting the complexity from the core analytics engine

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If multi-dimensional consumer data is collected and analyzed across social media, e-commerce, and financial platforms, then the accuracy of consumer insights and personalization is improved, but the time and resources required for data processing increase

Engineering Contradiction:

Improveconsumer insight accuracyVSAvoiddata processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements preliminary data normalization and entity correlation processes that prepare and structure data from multiple sources before detailed analytics processing. By pre-processing and organizing data in advance, the system reduces the time required for subsequent analytical operations while maintaining high accuracy in consumer insights

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent establishes continuous data collection and processing operations across multiple platforms, maintaining persistent data streams from social media, e-commerce, and financial platforms. This continuous operation eliminates repeated setup and initialization overhead, reducing overall processing time while sustaining accurate real-time consumer insights

Inventive Principle:

Principle #20Continuity of useful action

3Adaptability or versatility

If centralized personal information is stored and managed across multiple data sources, then the ability to provide personalized services is improved, but the security risks and data protection challenges increase

Engineering Contradiction:

Improvepersonalized service capabilityVSAvoiddata security

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements differentiated security measures tailored to specific data types and sensitivity levels. Different normalization and storage approaches are applied to different categories of personal information based on their security requirements, allowing personalized services to be delivered while applying appropriate security controls to each data element

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent introduces intermediary layers including normalized data representations and correlation components that act as security buffers between raw personal information and analytics processing. These intermediaries enable personalized service delivery while protecting underlying sensitive data through abstraction and controlled access mechanisms

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11074218B2Multi-source, multi-dimensional, cross-entity, multimedia merchant analytics database platform apparatuses, methods and systems

Publication Date: 2021.07.27 VISA INTERNATIONAL SERVICE ASSOCIATION

AI summary

An analytics platform processor-implemented method comprising obtaining a computer-based electronic message including a request for an analytics recommendation including a user identifier. Upon obtaining the electronic message, querying a distributed linking node mesh for entities correlated with the user identifier. Generating a user behavior profile based on the queried entities correlated with the user identifier. Determining a product or service using the user behavior profile. Providing an indication of the product or service to the server in response to the request for the analytics recommendation. Wherein the distributed linking node mesh includes a node representing an observable entity and a node representing a deduced entity derived through aggregating information associated with the user.