Organization Data Structure for Cross-Entity Resource Sharing
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Solution Overview
Problem
Independent business entities within a larger organization face challenges in resource sharing and management due to differing regulations and lack of organizational oversight, making it difficult to integrate data systems and maintain compliance with privacy and regulatory requirements.
Innovation Solution
A centralized organization data structure is established to integrate separate entities, allowing for resource sharing and management, including customer data and payment modalities, while ensuring compliance with privacy and regulatory standards through a unified technological infrastructure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate business entities operate independently, then each entity maintains operational autonomy and compliance with specific regulations, but resource sharing and data integration between entities become difficult to achieve
Solution Approach 1:
The system segments the organization into multiple independent entity records, each maintaining its own operational autonomy and regulatory compliance. The organization record acts as a parent container that links multiple entity records, allowing data integration without compromising entity independence. This segmentation enables resource sharing while preserving the legal and operational boundaries of each entity.
Solution Approach 2:
The patent implements a nested data structure where entity records are nested within an organization record. The organization record serves as a parent object containing multiple child entity records, creating a hierarchical relationship. This nesting allows the system to maintain both the independence of individual entities and their connection to the broader organization, enabling resource sharing across entities while preserving operational autonomy.
2Reliability
If separate business entities operate independently, then each entity maintains its own data systems, but resource sharing and management between entities becomes inefficient
Solution Approach 1:
The organization record serves as an intermediary data structure that mediates between separate entity records. It provides a central linking mechanism that enables resource sharing and data integration without requiring direct connections between entities. This intermediary structure maintains data system independence while improving resource sharing efficiency by providing a standardized interface for cross-entity operations.
3Device complexity
If entities are integrated into a unified organization structure, then resource sharing and centralized management are enabled, but compliance with differing regulations and privacy requirements becomes more challenging
Solution Approach 1:
The system applies local quality by allowing each entity record to have its own specific attributes, data fields, and compliance settings tailored to its regulatory requirements. While the organization record provides a unified structure for resource sharing, individual entities can maintain their unique characteristics and compliance protocols. This enables centralized management capabilities while preserving the ability to meet different regulatory standards at the entity level.
4Ease of operation
If independent entities share customers and modalities, then customer experience is enhanced, but fraud detection and risk management become more complex
Solution Approach 1:
The patent merges data from multiple entity records into the parent organization record, creating a consolidated view of all customers and modalities across the organization. This unified data structure enables enhanced customer experience through consistent service delivery while simultaneously improving fraud detection capabilities by providing a comprehensive organizational perspective. The merged data allows for centralized analytics and risk management that can identify patterns across entities that would be invisible at the individual entity level.
Data Source
AI summary
An entity can be associated to another entity through an association with an organization. An authorized user in a first entity can request via an interface associated with the organization that an identifier of another entity be added to an organization data structure of the organization. The organization can verify the request and submit a request to the other entity. The other entity may become associated with the first entity. Aggregated functions may then be performed across all entities in the organization according to the organization data structure.