Metadata Management System for Business Term Refinement
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Solution Overview
Problem
Enterprises face challenges in managing and understanding vast amounts of diverse data, including personnel, financial, and social media data, which requires effective metadata management to ensure data quality, accuracy, and regulatory compliance, but existing systems lack efficient tools for refining business term definitions and creating new business terms.
Innovation Solution
A method and system for analyzing queries and provisioning data to analytics by generating a user interface that displays selectable business terms, creating a business metadata query, and deploying data movement executables to move data into an analytical processing environment, where analytics are performed, and metadata is identified and used to update business term definitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If enterprises store and manage vast amounts of diverse data using traditional data schemas, then data storage and basic retrieval are maintained, but the ability to efficiently refine business term definitions and create new business terms is insufficient
Solution Approach 1:
The patent introduces a metadata management system that acts as an intermediary layer between traditional data schemas and business analytics needs. This system includes components such as a metadata repository, term refinement module, and automated business term generation engine that mediate between raw data storage and business intelligence requirements, enabling efficient business term management without redesigning the entire data infrastructure
Solution Approach 2:
The patent segments the metadata management functionality into distinct modular components: data schema management, business term definition, term refinement processes, and automated term generation. This segmentation allows each component to be independently optimized and maintained, reducing overall system complexity while enhancing adaptability for business term management
2Reliability
If traditional data management systems are used, then basic data storage is maintained, but data quality, accuracy, and regulatory compliance are compromised
Solution Approach 1:
The patent implements feedback mechanisms where the metadata management system continuously monitors data quality metrics, compliance status, and business term usage patterns. This feedback is used to automatically refine business term definitions, validate data accuracy, and ensure regulatory compliance while maintaining efficient data management operations through automated adjustments
Solution Approach 2:
The patent applies preliminary action by establishing comprehensive metadata schemas, business term definitions, and compliance rules before data ingestion and processing occur. This preparatory configuration ensures that data quality, accuracy, and compliance requirements are embedded into the data management process from the outset, preventing issues rather than correcting them later
Data Source
AI summary
A user interface is generated that displays a set of selectable terms from a glossary of business terms and is configured to generate a business metadata query that identifies a forum with member profiles. A data movement executable is generated that identifies the forum and an analytical processing environment. The data movement executable is deployed and data is moved from the forum into the analytical processing environment. Analytics are performed on the data from the forum. Metadata is identified from the analytics. The glossary of business terms is updated using the metadata from the analytics.