Process Controls for Master Data Modeling
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Solution Overview
Problem
Centralized business databases become unmanageable as organizations grow, overwhelming users with irrelevant data and making it difficult to retrieve relevant information for specific business processes due to their design focus on performance rather than ease of use.
Innovation Solution
Implementing process controls that define specific attributes to access a centralized database, allowing each division or group to retrieve only pertinent data, thereby simplifying data retrieval and ensuring accuracy and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a centralized master database is used to store all business information, then data completeness and centralization are improved, but data retrieval efficiency and user ease of operation deteriorate due to information overload
Solution Approach 1:
The patent segments the centralized master database into multiple specialized databases, each dedicated to specific business functions (sales, marketing, customer service, etc.). This segmentation allows users to access only relevant data for their specific needs, improving retrieval efficiency while maintaining data completeness across the distributed system.
Solution Approach 2:
The patent extracts specific data subsets from the centralized database and creates separate specialized databases for different business functions. Each specialized database contains only the data relevant to its specific purpose, eliminating information overload for users while preserving the complete data set across the system.
2Adaptability or versatility
If a centralized master database is used to ensure data availability, then data accessibility is improved, but system complexity and difficulty of managing relevant data deteriorate
Solution Approach 1:
The patent divides the monolithic centralized database into multiple smaller, functionally-specific databases. This reduces the complexity each user interface must handle while maintaining broad accessibility through the distributed architecture. Each specialized database manages a specific domain, simplifying maintenance and access patterns.
Solution Approach 2:
The patent introduces specialized database interfaces and data retrieval systems that act as intermediaries between users and the distributed database architecture. These intermediaries manage the complexity of data distribution while providing simplified access points for users, maintaining accessibility without exposing system complexity.
3Reliability
If all business information is stored centrally, then data accuracy and reliability are improved, but time required to retrieve relevant information deteriorates
Solution Approach 1:
The patent segments data into specialized databases organized by business function and data type. This segmentation enables direct access to relevant data subsets without scanning entire centralized databases, significantly reducing retrieval time while maintaining data accuracy through consistent data models and validation rules across the distributed system.
Solution Approach 2:
The patent pre-organizes data into specialized databases with predefined schemas and relationships specific to each business function. This preliminary organization of data before retrieval needs arise enables users to access relevant information immediately without performing extensive search or filtering operations, reducing retrieval time while preserving data accuracy.
Data Source
AI summary
In an embodiment of a computer-based system, a database and attributes to access that database are provided. The computer-based system is configured for one or more process controls, each of the one or more process controls comprising a subset of the plurality of attributes. The computer-based system is further configured to enable access to the database using the one or more process controls.