Compensation Rules Engine for Investment Data Processing
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Solution Overview
Problem
Current systems face challenges in accurately and efficiently processing large volumes of investment data from multiple sources to determine compensation for sales units involved in various transactions and asset holdings, due to the complexity of interactions among multiple entities and the need for precise financial calculations.
Innovation Solution
A computerized system with a server and compensation rules engine that receives, processes, and stores investment data from external sources, applying hierarchical rules to determine compensation, allowing for user access and data steward input through internet or internal networks, facilitating simultaneous data introduction and access for multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a computerized system processes large volumes of investment transactions and holdings data, then the volume of data processing increases, but the accuracy of compensation computation deteriorates due to the complexity of monitoring customer activities and assets across multiple sales units
Solution Approach 1:
The system segments the complex compensation computation process into distinct modules: data reception module receives data from multiple external sources, processing module applies compensation rules hierarchically, and determination module computes compensation for each sales unit. This segmentation allows the system to handle large volumes of investment transactions while maintaining accurate compensation computations by processing data through specialized functional components rather than as a monolithic system.
Solution Approach 2:
The patent introduces an intermediary compensation rules engine that acts as a mediator between the raw investment data and the final compensation determinations. This intermediary layer applies hierarchical compensation rules to transform complex multi-source investment data into accurate compensation amounts for various sales units, resolving the contradiction by inserting a specialized processing layer that maintains precision while handling high-volume data.
2Adaptability or versatility
If the system monitors customer activities and assets across multiple sales units involved in transactions, then the comprehensiveness of monitoring increases, but the difficulty of making accurate compensation determinations increases due to the wide range of segments interacting
Solution Approach 1:
The system divides the monitoring and determination function into separate modular components: a data reception component that handles input from multiple external sources, a rules application component that processes compensation logic, and a determination component that outputs results. This modular segmentation reduces the apparent complexity by organizing the comprehensive monitoring function into manageable, independently configurable modules that can handle multiple sales units and interaction segments systematically.
Solution Approach 2:
The compensation rules engine is designed as a universal system that can handle multiple types of investment transactions, various sales unit structures, and different compensation scenarios through a single integrated platform. This multi-functionality allows the system to comprehensively monitor customer activities across diverse segments without proportionally increasing complexity, as the same core engine adapts to different monitoring requirements through configurable rules rather than requiring separate specialized systems.
3Measurement precision
If the system processes investment data from multiple external sources and applies compensation rules, then the accuracy of compensation determination improves, but the time required for processing increases
Solution Approach 1:
The system performs preliminary actions by pre-configuring hierarchical compensation rules and structures before actual compensation determinations are needed. The compensation rules engine is pre-loaded with compensation logic, sales unit hierarchies, and data validation criteria. When investment data arrives from multiple external sources, the system can rapidly apply these pre-established rules without needing to compute compensation logic in real-time, thus maintaining high accuracy while reducing processing time.
4Adaptability or versatility
If the system allows simultaneous data introduction from external sources and user access for queries and reports, then the functionality and user accessibility improve, but the system complexity increases
Solution Approach 1:
The system segments functionality into distinct operational modules: a data reception interface that handles simultaneous input from multiple external sources, a compensation processing engine that independently applies rules, and a user access interface that provides query and report capabilities. This segmentation allows each module to operate independently with well-defined interfaces, enabling simultaneous data introduction and user access without creating unmanageable system complexity, as each segment handles its specific function with clear boundaries.
Data Source
AI summary
A computerized method for processing investment data includes providing a server supporting a database for receiving, processing and storing investment data which includes compensation data; providing a compensation rules engine for processing compensation data employing rules relating to compensation; introducing into the server investment data from a plurality of external sources, processing the compensation data by the compensation rules engine and permitting user access to the processed and stored investment data. Information regarding sales units, customer investments, client information and investment transaction information is provided in the server. A corresponding system is disclosed.