Unified Business Data Integration Platform
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Solution Overview
Problem
Current business data management systems require significant human effort to process and present business records data, as the data often comes from disparate sources and exists in various formats, making it difficult to integrate and automate business processes.
Innovation Solution
A unified system that integrates business data from different sources into a single format using a central integration platform, which collects data, performs tasks, and provides services in an automated manner through smartflows that define tasks in a common language and orchestrate the execution of these tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If data from disparate sources in various formats is integrated manually, then data integration is achievable, but significant human effort and time are required
Solution Approach 1:
The patent introduces a central integration platform as an intermediary system that sits between disparate data sources and the business processes. This platform provides standardized adapters and transformation layers that automatically convert various data formats into a unified structure, eliminating the need for manual data integration while managing complexity through abstraction.
Solution Approach 2:
The integration platform is designed with universal, multi-functional components that can handle multiple data sources and formats through a common architecture. Standardized adapters, transformation rules, and processing workflows enable the system to accommodate various input types without requiring custom manual intervention for each data source.
2Productivity
If business processes are automated using traditional methods, then processing speed improves, but adaptability to different data formats and sources is limited
Solution Approach 1:
The patent implements dynamic, configurable processing workflows that can adapt to different data formats and sources. The system uses parameter-driven transformation rules and flexible workflow definitions that can be modified without changing the underlying code, allowing automated processes to handle varying data structures while maintaining high processing speeds.
Solution Approach 2:
The integration platform utilizes parameter changes to adapt processing behavior based on input data characteristics. Transformation rules and workflow parameters are dynamically adjusted according to the specific data format and source being processed, enabling the automated system to maintain both speed and adaptability across diverse data types.
3Loss of time
If manual processing of business records is performed, then data accuracy can be maintained through human review, but processing time and labor costs increase
Solution Approach 1:
The patent incorporates feedback mechanisms in the automated processing system, including validation rules, error detection algorithms, and quality check workflows. The system automatically validates processed data against defined criteria, detects anomalies, and implements corrective actions or escalations, maintaining reliability comparable to manual review while eliminating processing delays.
4Loss of information
If comprehensive data integration from multiple sources is implemented, then business intelligence improves, but system complexity and integration difficulty increase
Solution Approach 1:
The patent segments the integration system into modular, independent components including source-specific adapters, standardized transformation layers, and destination systems. Each component handles a specific function or data type, allowing comprehensive data integration while managing complexity through modular architecture that can be developed, deployed, and maintained independently.
Data Source
AI summary
Systems and methods for unifying business records data from different database sources into a common format in the same repository are disclosed. In one embodiment, a process includes receiving, by an integration platform system, a first set of business records data from a customer records system, where the business records data includes records in a first format, identifying a first transformation rule corresponding to the first format using the integration platform system, where the first transformation rule includes information for converting data from the first format to a unified format, converting each record in the first set of business records from the first format to the unified format by the integration platform system using the first transformation rule, and storing the first set of converted records in the unified format in a business records database.