Asset Repository Hub for Enterprise Data Standardization
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Solution Overview
Problem
In distributed enterprise computing environments, disparate enterprise applications often maintain overlapping but non-standardized data assets, leading to redundant and confusing data, making it difficult to obtain an accurate view of business activities.
Innovation Solution
An asset repository hub is introduced to register, cleanse, generate match codes, and cluster data assets across multiple source systems, creating a unified enterprise identifier and standard for each unique asset, enabling consolidated views and search functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate enterprise applications and databases are used to manage different business activities, then each application can maintain its own data assets with specific attributes and formats, but this leads to redundant, non-standardized, and confusing data across the enterprise
Solution Approach 1:
The patent introduces an asset repository hub as an intermediary system between multiple enterprise applications and databases. This hub receives data asset registration requests from various source systems, standardizes the data using business rules and match codes, and maintains a unified view of enterprise data assets. The hub acts as a mediator that enables data sharing and consistency across applications without requiring changes to the source systems themselves.
2Ease of operation
If data assets are segregated within each application, server, or sub-network, then each system can maintain its own data format and structure, but other applications become unaware of the same data assets, leading to disparate accounts of the same information
Solution Approach 1:
The asset repository hub provides universal data asset management capabilities that serve multiple enterprise applications simultaneously. It implements a standardized data registration and retrieval process that works across different source systems with varying data formats. The hub's match code generation and clustering mechanisms enable it to recognize and consolidate the same data assets regardless of their origin, providing a universal interface for data access throughout the enterprise.
3Productivity
If each enterprise application maintains separate databases with overlapping data, then each application can optimize its data storage for its specific needs, but the overall system requires significant effort to obtain an accurate view of business activities
Solution Approach 1:
The patent implements preliminary data standardization and registration at the point of data creation or access. When data assets are registered with the asset repository hub, they are immediately processed through match code generation and clustering algorithms that pre-establish their relationships with other data assets. This preliminary action enables rapid data consolidation and retrieval later, as the hub already has the standardized mappings and relationships prepared in advance.
Data Source
AI summary
Systems and methods for managing data assets in an enterprise computing environment are provided. Data assets associated with a plurality of source systems operating within the enterprise computing environment may be registered with an asset repository hub. The asset repository hub receives a registration request from a source system for a particular data asset and determines whether the data asset is unique within the enterprise computing environment. If the data asset is unique, then the data asset is stored at the asset repository hub and a unique enterprise identifier is associated with the data asset. In determining whether the asset is unique, the asset repository hub may cleanse the data asset against a set of business rules; generate a plurality of match codes that describe the content of the data asset; and cluster the generated match codes against clusters of previously generated match codes. Also provided herein is a mechanism for searching and locating data assets stored within the enterprise computing environment by submitting queries to the asset repository hub.