Information Processing Device for Cross-Border UBO Extraction
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Solution Overview
Problem
Current systems face challenges in extracting Ultimate Beneficial Ownership (UBO) information across different countries due to varying definitions, requiring extensive record verification and leading to increased costs and time, especially when using existing databases not aligned with the required country's definition.
Innovation Solution
An information processing device that acquires corporate enterprise designation information, beneficiary-related information, and ownership ratios, and uses a benefit rate specification unit to extract UBO information based on multiple definitions, allowing for appropriate UBO identification using existing databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a new database is prepared for the country with different UBO definition, then the UBO information can be extracted according to the correct definition, but a great amount of cost and a long period of time are necessary for collecting information
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing benefit rates for all corporations in the existing database during database construction. This preliminary calculation of benefit rates based on different country definitions allows the system to quickly retrieve and apply the appropriate definition without performing time-consuming calculations when extracting UBO information for specific countries.
Solution Approach 2:
The system creates a virtual copy of the database structure by maintaining the existing database as-is and overlaying it with country-specific definition configurations. Instead of physically creating separate databases for each country, the system copies the logical structure and applies different interpretation rules (benefit rate definitions) to the same underlying data, enabling multi-country support without duplicating data collection efforts.
2Measurement precision
If a new database is prepared for the country with different UBO definition, then the UBO information can be extracted according to the correct definition, but great amount of cost is necessary for collecting information
Solution Approach 1:
The system achieves universality by designing a single database structure that can serve multiple countries with different UBO definitions. The benefit rate specification unit stores multiple country-specific definitions within the same system, allowing the existing database to be reused for different countries by simply changing the active definition configuration, rather than creating separate databases for each country.
Solution Approach 2:
The system applies parameter changes by modifying the benefit rate threshold parameter according to the target country's definition. Instead of changing the database structure or collecting new data, the system adjusts the benefit rate parameter (e.g., 25% for some countries, 50% for others) to match different country requirements, enabling the same database to satisfy multiple country-specific extraction needs.
3Measurement precision
If employee confirms many records to specify UBO with different definition, then the UBO can be specified accurately, but it takes a very long time
Solution Approach 1:
The system replaces the mechanical manual verification process with an automated information processing mechanism. The extraction unit automatically retrieves corporation information and applies the benefit rate specification unit's calculated rates to identify UBOs, substituting the employee's manual review of multiple records with an automated calculation and comparison process that operates faster and without human error.
Solution Approach 2:
The system enables self-service by allowing the extraction unit to autonomously identify UBOs based on pre-calculated benefit rates without requiring employee intervention for each record. The system automatically compares beneficiary ownership ratios against the specified benefit rate threshold and directly outputs the UBO identification results, making the process self-sufficient and eliminating the need for manual confirmation of numerous records.
Data Source
AI summary
This information processing device: acquires corporate enterprise designation information that designates a first corporate enterprise to which leader information, which pertains to a substantive leader, is to be provided; acquires, in addition to corporate enterprise identification information with which a subject corporate enterprise specified on the basis of the acquired corporate enterprise designation information can be uniquely identified, corporate enterprise information having beneficiary-related information that includes at least beneficiary information representing a beneficiary of the subject corporate enterprise, ownership ratio information representing the ratio at which the beneficiary owns stocks of the subject corporate enterprise, and benefit rate information representing a benefit rate calculated following a definition in a first nation; refers to the acquired corporate enterprise information and specifies the benefit rate according to a definition in an assumed designated nation; specifies a beneficiary who is the substantive beneficiary in the first corporate enterprise, on the basis of the acquired corporate enterprise information and the specified benefit rate; and extracts at least some of the beneficiary-related information corresponding to the specified beneficiary as leader information.