Multi-Channel Data Platform Parser-Matcher Logic

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Solution Overview

Problem

In the risk mitigation industry, automated data collection and processing are time-consuming and expensive due to non-standardized data formats, requiring manual reformatting and quality checking, which leads to inefficiencies and errors in data exchange between entities like carriers and reinsurers.

Innovation Solution

A digital multi-channel platform with web-client applications that automates data collection, reformatting, and quality checking by using a parser-matcher logic to extract structured data from unstructured content, allowing for dynamic mapping and populating of data into predefined formats, reducing manual interaction and enabling syntactical and semantical independence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual reformatting and quality checking is performed, then data accuracy and compliance can be ensured, but time consumption and labor intensity increase significantly

Engineering Contradiction:

Improvedata accuracyVSAvoidtime consumption

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system enables automated self-service data processing where the platform automatically performs reformatting and quality checking without requiring manual human intervention. The automated system validates data against predefined schemas and industry standards, ensuring accuracy while eliminating time-consuming manual review processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical data processing operations with automated digital systems. The platform uses software-based validation engines, parsers, and formatters that automatically process data, replacing the mechanical manual tasks of checking, reformatting, and validating data entries.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If manual data processing is used, then flexibility in handling various formats is maintained, but processing efficiency and productivity decrease

Engineering Contradiction:

Improveformat flexibilityVSAvoidprocessing efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system dynamically adjusts processing parameters based on the input data format. The platform can automatically detect the source format and apply appropriate transformation parameters to convert data into the required target format, maintaining flexibility while significantly improving processing speed through automated parameter adaptation.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The platform provides universal data processing capabilities that can handle multiple data formats, schemas, and industry standards through a single integrated system. The multi-functional platform performs reformatting, validation, quality checking, and compliance verification simultaneously, eliminating the need for separate manual processes.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If automated data processing is implemented, then processing speed and efficiency improve, but system complexity and technical requirements increase

Engineering Contradiction:

Improveprocessing speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The platform introduces an intermediary layer between data sources and consumption systems that handles the complexity of format conversion and validation. This intermediary platform absorbs the technical complexity through standardized interfaces, schemas, and automated transformation engines, simplifying the overall system architecture while maintaining high processing speed.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Reliability

If manual quality checking is performed, then detailed validation can be conducted, but labor costs and operational expenses increase

Engineering Contradiction:

Improvedata validationVSAvoidlabor requirements

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The system enables automated self-service validation where the platform automatically performs comprehensive quality checking against predefined schemas and business rules. This eliminates the need for human labor in validation while maintaining thorough checking through automated logic that can process large volumes of data continuously.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12112385B2Digital multi-channel data-transfer and recognition platform, and method thereof

Publication Date: 2024.10.08 SWISS REINSURANCE CO LTD

AI summary

Proposed is a digital multi-channel platform based on a multi-channel, high-layer data-transfer structure accessible by means of web-client applications running on front-end network-enabled devices providing discrete high-layer data-flow and capturing of structured and unstructured data content transferred from the front-end network-enabled devices over a data transmission network to a digital multi-channel back-end system.