Enterprise Data Framework for Consistent Target System Presentation
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Solution Overview
Problem
Enterprise data management faces challenges in ensuring data quality and consistency across different business groups within an organization, leading to issues in data integration and control, as various groups view and utilize the same information differently.
Innovation Solution
A framework is developed to establish a taxonomy of data domains and authorized data sources through an enterprise data source inventory and selection process, transforming data based on regulatory parameters, data management controls, and data types to ensure accurate and consistent data presentation to target systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is shared across multiple business groups, then information availability improves, but data quality and consistency deteriorate due to different interpretations and uses
Solution Approach 1:
The patent implements an enterprise data management framework that acts as an intermediary layer between data sources and multiple business groups. This framework includes data domains, authorized data sources, and transformation processes that ensure data is presented consistently to different target systems while maintaining the original data integrity. The framework mediates between the need for wide data distribution and the need for consistent data quality by providing a standardized interface and control mechanisms.
2Adaptability or versatility
If data is transformed to meet specific target system requirements, then data adaptability improves, but data processing complexity increases
Solution Approach 1:
The patent segments data into distinct data domains (transaction data, reference and master data, derived data, discovery data) with authorized data sources for each domain. This segmentation allows targeted transformation only for specific data types needed by each target system, rather than transforming entire datasets. The modular domain structure reduces processing complexity by enabling selective data retrieval and transformation based on specific requirements.
Solution Approach 2:
The framework transforms data by changing parameters such as data format, structure, and presentation based on target system requirements while maintaining the core data integrity. Transformation rules and data management controls adjust data parameters dynamically according to the specific needs of each target system, enabling adaptability without requiring complete reprocessing of all data.
3Measurement precision
If comprehensive data management controls are implemented, then data precision improves, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a universal enterprise data management framework that provides multiple functions through a single integrated system. The framework simultaneously handles data domain definition, authorized data source management, data transformation, and quality control across all business groups. This multi-functional approach achieves comprehensive data precision controls without proportionally increasing system complexity, as the same infrastructure serves multiple data management needs.
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products for presenting authorized data to a target system. The system is configured to receive an indication from one or more target systems to retrieve data from an authorized data source; receive one or more regulatory parameters associated with the one or more target systems; determine one or more domains associated with the data, wherein the one or more domains comprise at least a transaction domain, a reference and master data domain, a derived domain, and a discovery domain; determine one or more data types associated with each of the one or more domains; transform the data based on at least the one or more regulatory parameters, the one or more data management controls, the one or more domains, and the one or more data types; and transmit the transformed data to the one or more target systems.