Player Ledger Account Management for Gaming Compliance Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gaming ecosystems lack granular management of player-level funds, preventing compliance, risk analysis, and insurance at the individual player level due to the commingling of funds in aggregate accounts.
Innovation Solution
A player information management system (PIMS) that processes gaming data to create individual player accounts, maintains player-level ledgers, and provides compliance, risk, and insurance management by correlating transactions to specific player accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If funds are managed in a large commingled account at the operator or platform level, then operational simplicity and ease of management are improved, but compliance, risk analysis, and insurance capability at the player level deteriorates
Solution Approach 1:
The patent segments the commingled fund account into individual player-level accounts by implementing player ledger accounts that track each player's balance separately. The system divides the aggregate operator account into multiple player-specific ledgers, enabling granular monitoring of each player's funds while maintaining the overall commingled structure for operational simplicity.
Solution Approach 2:
The patent introduces a player information management system (PIMS) as an intermediary layer between the gaming operator and the banking layer. This intermediary maintains player-level ledgers that bridge the commingled operator account with individual player accounts, enabling compliance and risk analysis without disrupting the existing commingled fund structure.
2Reliability
If player-level account management is implemented, then compliance and risk analysis capability are improved, but system complexity and data processing requirements worsen
Solution Approach 1:
The patent makes the player information management system multi-functional by enabling it to perform various tasks: maintaining player ledgers, processing transactions, generating compliance reports, conducting risk analysis, and providing insurance capabilities. This single system handles multiple functions that would otherwise require separate systems, managing complexity through consolidation.
Solution Approach 2:
The system automatically maintains player-level accounts and processes transactions without requiring manual intervention. The automated ledger management and transaction processing reduce the operational burden and minimize human error, making the increased system complexity manageable through automation rather than manual procedures.
3Measurement precision
If granular player-level data is collected and processed, then analytics and compliance accuracy are improved, but data processing time and computational resources worsen
Solution Approach 1:
The patent pre-processes and structures player data into standardized ledger formats before transactions occur. Player information is pre-organized in the PIMS with predefined account structures and classification systems, enabling rapid processing of incoming transactions without requiring complex real-time analysis, thus reducing processing time while maintaining accuracy.
Solution Approach 2:
The system changes data parameters by aggregating and categorizing transaction data into standardized ledger entries with predefined fields and formats. This parameter standardization transforms complex raw transaction data into structured, easily processable ledger records, reducing computational requirements and processing time while preserving analytical accuracy.
Data Source
AI summary
Systems and methods of the present disclosure enable user-level activity recordation using population level activity data by receiving operator data including a record of activities performed by users on an operator system. Each entry in the record of activities is parsed to form structured activity entries representing each activity executed on the operator system. Each entry in the record of activities is matched to an individual account in an account database based on an individual identifier of each entry and an account individual identifier identifying the individual account. A statistical metric representing the activity history of the individual account is produced based on each entry matched to the individual account, and an activity history dashboard is displayed on an operator computing device to depicts the statistical metric for the individual account.