Shared Customer Data Access Across Independent Business Entities
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Solution Overview
Problem
Independent operation of business entities within a larger organization makes resource sharing, particularly customer data and payment services, difficult due to differing regulations and technological infrastructures, leading to inefficiencies and increased operational costs.
Innovation Solution
A centralized organization data structure integrates separate entities, allowing for the sharing of customer data and payment services while ensuring compliance with privacy and regulatory requirements, using an organization server to manage and synchronize data across entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If business entities operate independently, then each entity can maintain operational autonomy and flexibility, but resource sharing and data access between entities becomes difficult
Solution Approach 1:
The patent introduces an organization data structure as an intermediary layer between independently operating business entities. This data structure enables entities to share resources and access customer data without compromising their operational autonomy, resolving the contradiction by providing a mediating framework that facilitates collaboration while preserving independence.
Solution Approach 2:
The organization data structure serves multiple functions simultaneously: it enables data sharing, maintains entity independence, provides centralized management, and ensures regulatory compliance. This multi-functionality allows the system to improve resource sharing efficiency without sacrificing operational autonomy.
2Productivity
If customer data is shared between entities, then resource sharing and service integration improves, but privacy and regulatory compliance becomes more complex
Solution Approach 1:
The patent segments customer data into different categories with varying levels of accessibility. Not all data is shared equally across all entities; instead, data sharing is segmented based on business needs and regulatory requirements. This segmentation enables service integration while simplifying compliance management by allowing selective data sharing.
Solution Approach 2:
Different entities within the organization are granted different access qualities to customer data based on their specific business needs. The system provides local quality control where each entity receives only the necessary data portions, making compliance management easier while maintaining effective service integration.
3Productivity
If entities are integrated into a unified organization structure, then resource sharing and data aggregation improves, but entity independence and operational flexibility reduces
Solution Approach 1:
The organization data structure is designed to be dynamic rather than static. Entities can join and leave the organization, and data access rights can be adjusted in real-time based on business needs. This dynamic nature allows the system to improve data aggregation efficiency while preserving operational flexibility through adaptable membership and access controls.
Data Source
AI summary
A server can adjust access privileges of a customer object of a first entity to provide access to the customer object to a second entity that is associated with the first entity in an organizational data structure, resulting in a shared customer object. An operation request can be received which is associated with the second entity with regard to the shared customer object. An option to associate at least one account object of the first entity to the shared customer object may be provided. After receiving an indication to associate the at least one account object to the shared customer object, the operation request may be executed using the at least one account object.