Master Data Server Visualization for Record Consolidation
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Solution Overview
Problem
The process of consolidating duplicate records in master data management is time-consuming and error-prone, making it difficult to justify the effort and costs, especially when dealing with a large number of records, and limits the ability to gain a single, accurate view of entities, thus reducing trusted analytics.
Innovation Solution
A system and method that automatically transforms and consolidates records, generating real-time visualization displays to facilitate understanding of the consolidation process, using a master data server that interacts with data sources, transforms records, and creates graphical representations before and after consolidation, allowing for the visualization of the impact on sales data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual consolidation of duplicate records is performed, then data quality is improved, but time consumption and error rate increase
Solution Approach 1:
The system enables automatic self-service consolidation where the computer automatically identifies duplicate records, determines consolidation actions, and executes merges without human intervention. The computer uses algorithms to autonomously process record consolidation, eliminating manual effort while maintaining data quality through automated validation and conflict resolution mechanisms.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Instead of human operators manually reviewing and consolidating records, the system uses computer-based algorithms and automated processing mechanisms to identify duplicates, execute consolidation logic, and manage the entire workflow, thereby reducing time consumption while preserving data quality.
2Productivity
If consolidation process is automated, then productivity is improved, but complexity of the system increases
Solution Approach 1:
The system employs a multi-functional computer platform that integrates multiple capabilities including record identification, duplicate detection, consolidation decision-making, and execution of merge operations. This universal system handles various consolidation scenarios through a single integrated architecture, improving productivity while managing complexity through consolidation of functions rather than proliferation of separate systems.
Solution Approach 2:
The system introduces an intermediary computer system that acts as a mediator between raw data sources and final consolidated outputs. This intermediary layer manages the complexity of automated consolidation by providing a standardized interface and processing layer that simplifies interactions between different data sources and consolidation logic, thereby enabling high productivity without proportionally increasing overall system complexity.
3Measurement precision
If comprehensive record review is performed, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The system implements feedback mechanisms where the computer continuously monitors consolidation outcomes, validates merged records, and adjusts its duplicate detection and consolidation logic based on results. This feedback loop ensures high measurement precision in duplicate detection while preventing information loss by verifying that consolidation actions preserve essential data and correcting any errors that occur during the automated process.
Data Source
AI summary
According to some embodiments, a processor may receive an original set of records and automatically transform the original set of records into a transformed set of records. The processor may also generate a visualization display including both a first graphical representation associated with the original set of records and a second graphical representation associated with the transformed set of records.