Business Constructs for Enterprise Data Integration
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Solution Overview
Problem
Financial entities face challenges in managing high volumes of data from multiple sources, requiring accurate and integrated credit, financial, and customer information, especially due to rapid corporate mergers and acquisitions, and need enhanced tools for processing and communicating business data effectively.
Innovation Solution
The implementation of business constructs as standard interface files within a corporate information factory (CIF) architecture, which maps and integrates data from various sources into a standardized format, facilitating efficient data warehousing and integration, and supporting data governance processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is collected from multiple sources to provide holistic cross-enterprise information, then information completeness is improved, but data integration complexity increases
Solution Approach 1:
The patent segments data integration by creating separate business construct files for different data types (customer information, credit information, account information, etc.). Each file handles specific data elements independently, allowing parallel processing and reducing overall integration complexity while maintaining complete cross-enterprise information.
Solution Approach 2:
The patent introduces business constructs as intermediary layers between source systems and the data warehouse. These constructs serve as standardized interface files that mediate data transformation and integration, simplifying the complexity of direct multi-source data collection while ensuring information completeness.
2Adaptability or versatility
If corporate mergers and acquisitions occur rapidly, then business agility is improved, but data integration challenges increase
Solution Approach 1:
The patent creates universal business construct files that can handle data from multiple sources and systems through standardized formats. These constructs are designed to accommodate data from different corporate entities, making the system adaptable to rapid mergers and acquisitions without requiring custom integration solutions for each new entity.
Solution Approach 2:
The patent establishes standardized business construct templates and interface definitions in advance, before mergers and acquisitions occur. This preliminary standardization allows new corporate entities to be integrated quickly by simply mapping their data to existing construct files, rather than creating new integration frameworks from scratch.
3Measurement precision
If regulatory and investor demands for accurate information are met, then information accuracy is improved, but data processing effort increases
Solution Approach 1:
The patent changes the parameters of data representation by implementing standardized data formats, classification schemes, and validation rules within business constructs. This standardization enables automated validation and accuracy verification, reducing manual processing effort while maintaining high information accuracy for regulatory and investor reporting.
Data Source
AI summary
Various systems, processes, tools and techniques are provided for managing and processing data within a computing environment including a data warehouse component. Certain embodiments of the business construct of the invention can provide an interim stage for mapping data prior to loading the data into the data warehouse. When embodied as standard interface files, each of the business constructs can represent a business object that is of importance to a corporate entity or other enterprise.