Player Benefit Data Management Across Disparate Entities
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Solution Overview
Problem
Existing systems struggle to coordinate the access to player benefit data across multiple entities with different benefit parameters, leading to inconsistencies and non-compliance with jurisdictional regulations.
Innovation Solution
A system that utilizes a processor and memory device to manage player benefit data access, determining availability and display of benefits based on associated benefit parameters, and clustering entities for seamless data sharing while adhering to regulatory restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If player benefit data is shared across multiple entities, then player experience is enhanced through cumulative views and redemptions, but regulatory compliance becomes difficult to maintain due to different jurisdictional requirements
Solution Approach 1:
The system segments player benefit data into separate data structures for each entity, with each data structure containing only the benefits associated with that specific entity. This segmentation allows the system to present a unified player experience across entities while maintaining separate, compliant data storage for each jurisdiction, thus resolving the contradiction between data sharing and regulatory compliance.
2Reliability
If separate data structures are maintained for each entity, then regulatory compliance is ensured, but system complexity increases due to multiple data management processes
Solution Approach 1:
The system implements a universal data management architecture where a single player profile can associate with multiple entities, each having its own data structure. This multi-functional design allows the same system to handle both compliant separate storage and seamless cross-entity benefit sharing, reducing overall system complexity while maintaining regulatory compliance.
3Quantity of substance
If player benefits are accumulated across entities, then player value increases through cumulative benefits, but data access coordination becomes complex due to different benefit parameters
Solution Approach 1:
The system introduces an intermediary player profile that acts as a mediator between multiple entities. The player profile stores and coordinates benefit data from different entities, allowing cumulative benefit accumulation while simplifying data access coordination. This intermediary structure handles the complexity of different benefit parameters internally, presenting a unified interface to players and reducing coordination complexity.
Data Source
AI summary
In various embodiments, the system and method disclosed herein coordinates the access to persistent data amongst a plurality of disparate entities which otherwise have no player data sharing relationship with one another.