Predicting At-Risk Integrated Business Processes
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Solution Overview
Problem
Current business process integration systems require manual configuration and customization of software applications for specific trading partners, which is time-consuming and expensive, and lack efficient performance prediction tools for integrated business processes.
Innovation Solution
A system and method for predicting integrated business process performance using customized executable system integration software applications, which are automatically developed on-demand and monitored for data exchange between internal and external applications, enabling proactive issue identification and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and customization of software applications is used for specific trading partners, then the system can be adapted to specific business needs, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent applies preliminary action by pre-configuring software applications with templates and standardized integration patterns before deployment. The system prepares configuration files, data models, and integration logic in advance, allowing rapid deployment when trading partners are added without requiring time-consuming manual customization for each new partner.
Solution Approach 2:
The patent uses copying by creating reusable software application templates and configuration patterns that can be replicated across multiple trading partner integrations. Instead of manually configuring each integration from scratch, the system copies and adapts pre-established templates, significantly reducing configuration time and costs while maintaining adaptability to specific business needs.
2Adaptability or versatility
If manual configuration and customization of software applications is used for specific trading partners, then the system can be adapted to specific business needs, but the process becomes expensive
Solution Approach 1:
The patent uses copying by creating reusable software application templates and configuration patterns that can be replicated across multiple trading partner integrations. Instead of manually configuring each integration from scratch, the system copies and adapts pre-established templates, significantly reducing configuration time and costs while maintaining adaptability to specific business needs.
Solution Approach 2:
The patent applies universality by designing software applications with universal configuration frameworks and standardized integration patterns that can serve multiple trading partners and business scenarios. The system uses universal data models, communication protocols, and integration templates that can be adapted to different specific requirements, reducing the need for custom development and lowering implementation costs.
3Reliability
If traditional business process integration systems are used, then existing processes can be maintained, but performance prediction and proactive issue identification are lacking
Solution Approach 1:
The patent applies feedback by implementing performance prediction mechanisms that continuously monitor integrated business processes and provide early warnings of potential issues. The system collects data on process execution, data exchange performance, and system behavior, then uses this feedback to predict future performance and identify problems before they occur, enabling proactive intervention while maintaining process stability.
Solution Approach 2:
The patent uses preliminary action by implementing performance prediction and monitoring capabilities that identify potential issues before they affect process execution. The system proactively detects performance degradation trends, resource constraints, and integration problems in advance, allowing organizations to take corrective action before reliability is compromised.
Data Source
AI summary
An information handling system comprises a connection via a network interface for receiving business process data from an integrated business process running at a location, the business process data comprises at least data indicating data volume for the integrated business process. The information handling system further comprises a storage device for storing data representing an aggregate of business process data for an integrated business process and account data for the enterprise user of the integrated business process, and a processor adapted to determine a qualitative integrated business process performance designation from the aggregate business process data and account data. If the processor determines that there is no data volume from the business process data and no saved changes to the integrated business process within a specified time period, then the processor allocates an at-risk integrated business process performance designation and prepares a case file for this integrated business process.


