Information Management System for Financial Contract Standardization
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Solution Overview
Problem
Current systems lack effective methods for managing and supporting the implementation of diverse financial transaction contracts that specify future transfers of money, articles, or rights, leading to operational inefficiencies and risks due to manual handling and lack of standardized information management.
Innovation Solution
An information management system that classifies and stores agreement information into basic, cash flow, and event information, enabling standardized data structures for contract management, due date management, and settlement operations, with features like registration units, management screens, and data processing for efficient operation support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual handling and non-standardized information management are used for diverse financial contracts, then system complexity is reduced, but operational efficiency and reliability deteriorate
Solution Approach 1:
The patent segments agreement information into three distinct categories: basic information (subject, period, parties), flow condition information (transfer conditions, settlement terms), and event information (additional conditions affecting basic info or flow conditions). This segmentation allows the system to manage diverse financial contracts through a standardized yet flexible structure, improving operational efficiency without excessive complexity
Solution Approach 2:
The patent creates a universal information management structure that can handle multiple types of financial agreements (derivatives, bonds, securities settlements) through a common classification framework. The standardized data structure with basic info, flow conditions, and events serves as a multi-functional template applicable to diverse contract types, enhancing productivity across different financial operations
2Productivity
If standardized information classification is implemented for diverse agreements, then management efficiency improves, but data structure complexity increases
Solution Approach 1:
The patent divides agreement information into three manageable segments: basic information (subject, period, parties involved), flow condition information (settlement terms, transfer conditions), and event information (additional conditions). This segmentation reduces data structure complexity by organizing diverse agreement data into consistent, categorized fields that are easier to manage and process
Solution Approach 2:
The patent applies parameter changes by defining specific data fields and their characteristics within each information category. By standardizing parameters such as subject, period, flow conditions, and events with defined data types and relationships, the system achieves efficient management while controlling data structure complexity through consistent parameterization across different agreement types
3Reliability
If comprehensive agreement information is stored and managed, then operational reliability improves, but information processing complexity increases
Solution Approach 1:
The patent segments comprehensive agreement information into basic info, flow conditions, and events, allowing the system to store and process complete agreement data in an organized manner. This segmentation improves operational reliability by ensuring all necessary information is captured and structured, while reducing processing complexity through systematic categorization that simplifies data retrieval and analysis
Solution Approach 2:
The standardized information classification structure acts as an intermediary between diverse agreement formats and the management system. By translating various agreement types into the unified structure of basic information, flow conditions, and events, the system achieves comprehensive information management with improved reliability while the intermediary structure simplifies processing by providing a consistent interface
Data Source
AI summary
An information management system stores, in a storage area, for an agreement information that classifies the content of the agreement into at least two information elements including agreement information, and cash flow information indicating parameters to calculate a settlement amount and/or a settlement date for a cash flow. The information management system generates, by at least one hardware processor, from the at least two information elements, records of cash flow detail information indicating a plurality of occurrences of cash flows according to the parameters to calculate the settlement amount and/or the settlement date for the cash flows, and updates the records of cash flow detail information in response to detections of occurrences of settlement events according to the parameters to calculate the settlement amount and/or the settlement date for the cash flows.