Unique Identifier Mapping for Database Decoupling
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Solution Overview
Problem
Traditional methods for managing and updating massive amounts of information about economic entities are labor-intensive, require significant processing capability, and often result in fragmented databases, making it difficult for information buyers to access integrated customer information in a timely and secure manner.
Innovation Solution
The use of two sets of unique identifiers, universe identifiers (UUIDs) and customer identifiers (UCIDs), allows for efficient management and updating of information by linking and decoupling databases, enabling near real-time data transfer and secure access to sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional batch processing methods are used to compare customer files, then data accuracy can be maintained through thorough comparison, but processing time becomes excessively long and labor-intensive
Solution Approach 1:
The patent segments the customer file comparison process into multiple phases: initial rapid matching using key identifiers (name, address, SSN), followed by secondary verification for potential matches. This hierarchical segmentation allows the system to quickly eliminate non-matches while applying more rigorous verification only where needed, thereby maintaining high accuracy without proportionally increasing processing time for all records.
Solution Approach 2:
The system applies partial action by performing full thorough comparison only on records that pass initial screening, while applying simplified matching criteria to the majority of records. This selective application of comparison depth allows the system to achieve sufficient accuracy for most cases without the excessive time cost of applying full verification universally.
2Reliability
If customer files are fragmented by business units and geographical locations, then data security and organizational structure are maintained, but integrated customer views cannot be achieved
Solution Approach 1:
The patent introduces a central clearinghouse or intermediary system that receives customer file updates from various business units and geographical locations, performs standardized processing, and redistributes relevant information. This intermediary maintains the fragmented organizational structure for security and management purposes while creating an integrated view by consolidating customer data across all fragments, allowing any unit to access complete customer information without direct access to other units' systems.
Solution Approach 2:
The clearinghouse performs multiple functions: it acts as a security barrier maintaining data fragmentation, a consolidation point creating integrated views, a standardization engine harmonizing different data formats, and a distribution network delivering relevant information. This multi-functionality resolves the contradiction by simultaneously preserving organizational structure while enabling integrated access.
3Quantity of substance
If massive amounts of customer information are gathered and stored, then comprehensive customer profiles are available, but data management complexity and processing requirements increase significantly
Solution Approach 1:
The patent extracts and separates critical identifying information (name, address, SSN, account numbers) from the bulk customer data, giving these key identifiers primary sorting and matching priority. By extracting these essential elements, the system can efficiently manage and process massive datasets without being overwhelmed by the complete information set, reducing management complexity while preserving comprehensive profiling capability.
Solution Approach 2:
The system adds dimensional organization by implementing hierarchical sorting structures: primary sorting by key identifiers, secondary sorting by business unit or geographical region, and tertiary sorting by customer segments or product lines. This multi-dimensional organization transforms the management of massive datasets from a flat, overwhelming structure into a layered system where data can be accessed and processed at multiple levels of granularity, significantly reducing perceived and actual complexity.
4Speed
If real-time information delivery is implemented to meet customer expectations, then service quality improves, but processing capability and infrastructure requirements increase dramatically
Solution Approach 1:
The patent implements preliminary action by pre-processing and pre-organizing customer data into standardized formats with key identifiers prominently positioned before actual matching operations begin. Customer files are pre-sorted, pre-indexed, and pre-formatted during off-peak hours or as data is initially collected, so that when real-time matching is required, the system only needs to perform final comparison operations rather than full data processing, dramatically reducing real-time processing requirements.
Solution Approach 2:
The system implements dynamic processing where the depth and scope of data comparison adapt based on the matching stage and confidence levels. Initial rapid matching uses simplified criteria for high-speed processing, while subsequent verification stages dynamically increase scrutiny only for records requiring closer examination. This dynamic adjustment of processing intensity maintains real-time delivery capability while optimizing the use of processing resources.
Data Source
AI summary
Methods and systems for managing and updating information relating to economic entities using sets of unique identifiers. A universe database contains record entries. Each of the record entries is associated with a unique universe identifier. A customer database contains customer record entries. Each customer record entry is associated with a unique customer identifier. A conversion table provides a mapping between the unique universe identifiers and the unique customer identifiers. The information contained in the customer database is updated using the unique universe identifiers, unique customer identifiers and the conversion table. The unique universe identifiers and the unique customer identifiers are stable over a period of time.


