Payment Group Data Objects for Secure Incentive Sharing
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Solution Overview
Problem
Existing technologies face challenges in securely integrating functionality across digital platforms for user groups, managing transactions within user groups in a time-sensitive manner, and ensuring real-time updates and reduced processing power, while addressing security concerns and inefficiencies in data sharing and transaction processing.
Innovation Solution
The implementation of group data objects that operate as standalone entities, utilizing contextual data to generate and manage user groups, enabling secure data encryption and real-time updates, and leveraging machine learning for intelligent functionality management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If group data objects are implemented to enable secure functionality integration across digital platforms, then security is improved, but device complexity increases
Solution Approach 1:
The system segments functionality into discrete group data objects that can be independently managed, created, and integrated. Each group data object represents a distinct functional unit with specific capabilities, allowing secure integration without monolithic complexity. The segmentation enables modular security management where each object can be independently authenticated and authorized.
Solution Approach 2:
Group data objects serve as intermediary entities between users and digital platform functionalities. Rather than direct user-platform interactions, the group data objects act as mediators that encapsulate functionality, manage access control, and facilitate secure transactions. This intermediary layer simplifies security management by centralizing authentication and authorization mechanisms.
2Productivity
If real-time transaction processing is implemented within user groups, then productivity is improved, but use of energy increases
Solution Approach 1:
The system implements periodic polling and event-driven updates rather than continuous real-time processing. Group data objects trigger updates only when specific events occur (e.g., transaction completion, state changes), reducing unnecessary processing cycles. This periodic action maintains productivity by ensuring timely updates while significantly reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system processes only the minimum necessary data required for transaction completion and group state maintenance. Rather than processing all possible transaction data in real-time, the system selectively processes critical information, reducing computational overhead and energy usage while maintaining adequate productivity for group transactions.
3Adaptability or versatility
If contextual data is utilized to generate group data objects, then adaptability is improved, but loss of information increases
Solution Approach 1:
The system applies different levels of data processing and privacy protection to different types of contextual information. Sensitive personal information receives enhanced protection through anonymization and aggregation, while non-sensitive contextual data is processed more extensively for group generation. This local quality approach enables adaptability through contextual data utilization while preserving privacy by applying appropriate protection measures to specific data categories.
Data Source
AI summary
Group functionality enablement is described. A computing system associated with a payment service may cause a user interface of a payment application executing on a user device to display an incentive indicator representing an incentive that is conditionally available to an account of the payment service, wherein the incentive becomes available when the incentive is shared with more than a threshold number of accounts within a period of time. Upon receiving, from the user device, user input data indicating a request to share the incentive with a plurality of additional accounts of the payment service and based on determining that a number of accounts in a group of accounts comprising the account and the plurality of additional accounts satisfies the threshold number, the computing system may enable incentive functionality for the group of accounts.