B2B Data Mapping via Message Guidelines and DAG Storage
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Solution Overview
Problem
Businesses face resource-intensive and complex data mapping challenges when performing B2B transactions due to variations in technology and information handling between trading partners, requiring efficient conversion of data formats.
Innovation Solution
A computer-implemented method for managing communication between businesses by selecting source and target message guidelines, generating potential mapping entities based on correlation coefficients and persistence, and selecting mapping entities based on accuracy thresholds, stored as a directed acyclic graph to streamline the mapping process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual data mapping is performed between different trading partners' systems, then data format conversion can be achieved, but the process becomes resource-intensive and complex
Solution Approach 1:
The patent introduces message guidelines as an intermediary layer between different trading partners' systems. These guidelines define standardized message structures and data formats that act as a mediator, automatically translating between diverse partner systems without requiring complex custom mapping for each partnership. The message guidelines serve as a universal interface that simplifies integration across multiple partners.
Solution Approach 2:
The message guidelines are designed to be universal and applicable across multiple trading partners and business contexts. A single message guideline can serve multiple partners with different technical implementations, eliminating the need for separate mapping processes for each partner. The guidelines provide multi-functional support for various data types, message formats, and business scenarios.
2Reliability
If comprehensive data mapping is performed to handle all information variations between partners, then complete data compatibility is achieved, but resource consumption increases
Solution Approach 1:
The patent applies local quality by allowing different levels of mapping detail in different contexts. Rather than implementing a single comprehensive mapping for all scenarios, the system provides basic message structure mapping as a standard, with optional detailed element-level mapping only where specifically required by business needs. This selective approach maintains data compatibility where necessary while conserving resources where standard mappings suffice.
3Measurement precision
If data mapping is customized for each specific business context and partner, then mapping accuracy improves, but the time required to establish mappings increases
Solution Approach 1:
The patent implements preliminary action by pre-defining message guidelines that contain standardized message structures, data formats, and mapping rules before actual trading partner integrations are established. These pre-configured guidelines serve as a foundation that automatically applies to new partners, eliminating the need to create mappings from scratch for each partnership. Context-specific customizations can then be applied efficiently on top of this pre-established foundation.
Data Source
AI summary
Techniques for managing communication between businesses include selecting a source message guideline including a first plurality of elements; selecting a target message guideline including a second plurality of elements; selecting a business context corresponding to the source message guideline; generating a plurality of potential mapping entities between the first plurality of elements and the second plurality of elements; and selecting mapping entities from the plurality of potential mapping entities based on an accuracy threshold of the mapping entities.